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16.412J Cognitive Robotics (MIT) 16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.Technical RequirementsAny text editor can be used to view the .ascii, .binary, .map, and .pddl files found on this course site. Any number of development tools can be used to compile and run the .c and .h files found on this course site. Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.Technical RequirementsAny text editor can be used to view the .ascii, .binary, .map, and .pddl files found on this course site. Any number of development tools can be used to compile and run the .c and .h files found on this course site.

Subjects

cognitive robotics | cognitive robotics | robotic systems | robotic systems | intelligence algorithms | intelligence algorithms | robustness algorithms | robustness algorithms | intelligence paradigms | intelligence paradigms | robustness paradigms | robustness paradigms | autonomous robots | autonomous robots | mars explorers | mars explorers | cooperative air vehicles | cooperative air vehicles | embedded devices | embedded devices | real-time deduction | real-time deduction | real-time search | real-time search | temporal planning | temporal planning | decision-theoretic planning | decision-theoretic planning | contingency planning | contingency planning | dynamic execution | dynamic execution | dynamics re-planning | dynamics re-planning | reasoning | reasoning | path planning | path planning | reasoning under uncertainty | reasoning under uncertainty | mapping | mapping | localization | localization | cooperative robotics | cooperative robotics | distributed robotics | distributed robotics | mars exploration rover | mars exploration rover | nursebot | nursebot | museum tourguide | museum tourguide | human-interaction systems | human-interaction systems | navigation | navigation | state-aware robots | state-aware robots | fast planning | fast planning | cooperative planning | cooperative planning | vision-based exploration | vision-based exploration | preplanning | preplanning | 16.412 | 16.412 | 6.834 | 6.834

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16.412J Cognitive Robotics (MIT) 16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover. Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.

Subjects

cognitive robotics | cognitive robotics | robotic systems | robotic systems | intelligence algorithms | intelligence algorithms | robustness algorithms | robustness algorithms | intelligence paradigms | intelligence paradigms | robustness paradigms | robustness paradigms | autonomous robots | autonomous robots | mars explorers | mars explorers | cooperative air vehicles | cooperative air vehicles | embedded devices | embedded devices | real-time deduction | real-time deduction | real-time search | real-time search | temporal planning | temporal planning | decision-theoretic planning | decision-theoretic planning | contingency planning | contingency planning | dynamic execution | dynamic execution | dynamics re-planning | dynamics re-planning | reasoning | reasoning | path planning | path planning | reasoning under uncertainty | reasoning under uncertainty | mapping | mapping | localization | localization | cooperative robotics | cooperative robotics | distributed robotics | distributed robotics | mars exploration rover | mars exploration rover | nursebot | nursebot | museum tourguide | museum tourguide | human-interaction systems | human-interaction systems

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.12 Introduction to Robotics (MIT) 2.12 Introduction to Robotics (MIT)

Description

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.Technical RequirementsRealOne™ Player software is required to run the .rm files found on this course site. This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.Technical RequirementsRealOne™ Player software is required to run the .rm files found on this course site.

Subjects

robot | robot | robot design | robot design | dynamics | dynamics | statics | statics | intelligent control | intelligent control | planar and spatial kinematics | planar and spatial kinematics | motion planning | motion planning | manipulator | manipulator | mobile robots | mobile robots | multi-rigid-body dynamics | multi-rigid-body dynamics | 3D graphic simulation | 3D graphic simulation | control design | control design | actuator | actuator | sensor | sensor | task modeling | task modeling | human-machine interface | human-machine interface | embedded software | embedded software | servo | servo | servomechanism | servomechanism | real-time control | real-time control | computer vision | computer vision | navigation | navigation | tele-robotics | tele-robotics | virtual reality | virtual reality

License

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2.12 Introduction to Robotics (MIT) 2.12 Introduction to Robotics (MIT)

Description

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project. This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.

Subjects

robot | robot | robot design | robot design | rescue | rescue | recovery | recovery | automation | automation | dynamics | dynamics | statics | statics | intelligent control | intelligent control | planar and spatial kinematics | planar and spatial kinematics | motion planning | motion planning | manipulator | manipulator | mobile robots | mobile robots | multi-rigid-body dynamics | multi-rigid-body dynamics | 3D graphic simulation | 3D graphic simulation | control design | control design | actuator | actuator | sensor | sensor | task modeling | task modeling | human-machine interface | human-machine interface | embedded software | embedded software | servo | servo | servomechanism | servomechanism | real-time control | real-time control | computer vision | computer vision | navigation | navigation | tele-robotics | tele-robotics | virtual reality | virtual reality

License

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Industrial robots : Design for Manufacture HNC in Engineering Year 1 : presentation transcript

Description

This open educational resource was released through the Higher Education Academy Engineering Subject Centre Open Engineering Resources Pilot project. The project was funded by HEFCE and the JISC/HE Academy UKOER programme.

Subjects

ukoer | engscoer | cc-by | leicester college | leicester college tech | leicestercollegeoer | engineering department | education | higher education | learning | cartesian | cylindrical | edexcel | nqf l4 | gantry robots | rectilinear robots | robots | work envelop | industrial robots | manufacturing | polar | rotary joints | articulated | linear joints | robots arms | edexcel hn unit design for manufacturing | design | hn | robot joints | robotics | design for manufacture | jointed arm | Engineering | H000

License

Attribution 2.0 UK: England & Wales Attribution 2.0 UK: England & Wales http://creativecommons.org/licenses/by/2.0/uk/ http://creativecommons.org/licenses/by/2.0/uk/

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2.A35 Biomimetic Principles and Design (MIT) 2.A35 Biomimetic Principles and Design (MIT)

Description

Biomimetics is based on the belief that nature, at least at times, is a good engineer. Biomimesis is the scientific method of learning new principles and processes based on systematic study, observation and experimentation with live animals and organisms. This Freshman Advising Seminar on the topic is a way for freshmen to explore some of MIT's richness and learn more about what they may want to study in later years. Biomimetics is based on the belief that nature, at least at times, is a good engineer. Biomimesis is the scientific method of learning new principles and processes based on systematic study, observation and experimentation with live animals and organisms. This Freshman Advising Seminar on the topic is a way for freshmen to explore some of MIT's richness and learn more about what they may want to study in later years.

Subjects

biomimetics | biomimetics | biomimicry | biomimicry | biomimesis | biomimesis | nature | nature | reverse engineering | reverse engineering | bionics | bionics | adaptation | adaptation | genetic algorithms | genetic algorithms | politics | politics | design | design | imitate | imitate | robot | robot | robotics | robotics | robotuna | robotuna | fluid mechanics | fluid mechanics | fish | fish | swim | swim | submarine | submarine | complexity | complexity

License

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16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.Technical RequirementsAny text editor can be used to view the .ascii, .binary, .map, and .pddl files found on this course site. Any number of development tools can be used to compile and run the .c and .h files found on this course site.

Subjects

cognitive robotics | robotic systems | intelligence algorithms | robustness algorithms | intelligence paradigms | robustness paradigms | autonomous robots | mars explorers | cooperative air vehicles | embedded devices | real-time deduction | real-time search | temporal planning | decision-theoretic planning | contingency planning | dynamic execution | dynamics re-planning | reasoning | path planning | reasoning under uncertainty | mapping | localization | cooperative robotics | distributed robotics | mars exploration rover | nursebot | museum tourguide | human-interaction systems | navigation | state-aware robots | fast planning | cooperative planning | vision-based exploration | preplanning | 16.412 | 6.834

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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MAS.965 Relational Machines (MIT) MAS.965 Relational Machines (MIT)

Description

This course examines the issues, principles, and challenges toward building relational machines through a combination of studio-style design and critique along with lecture, lively discussion of course readings, and assignments. Insights from social psychology, human-computer interaction, and design will be examined, as well as how these ideas are manifest in a broad range of applications for software agents and robots. This course examines the issues, principles, and challenges toward building relational machines through a combination of studio-style design and critique along with lecture, lively discussion of course readings, and assignments. Insights from social psychology, human-computer interaction, and design will be examined, as well as how these ideas are manifest in a broad range of applications for software agents and robots.

Subjects

relational machines | relational machines | emotional design | emotional design | technology | technology | human relationships | human relationships | emotional expression | emotional expression | representation and manipulation | representation and manipulation | measuring relationships and interactions | measuring relationships and interactions | assitive robotics for elderly | assitive robotics for elderly | robotic pets | robotic pets | robotic therapy | robotic therapy | language processing | language processing | machine teammates | machine teammates | collaboration | collaboration | interactive learning | interactive learning | tutorials | tutorials | wearable agent interaction | wearable agent interaction | ambient agent interaction | ambient agent interaction

License

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ÓTICA (2009)

Description

La asignatura Robótica permitirá, al titulado ingeniero informático que la curse, conocer los conceptos básicos de los sistemas robotizados en sus vertientes: - robots articulados - robots móviles - robots humanoides y conocer la programación básica de cada una de los diferentes tipos de robots.

Subjects

INGENIERIA DE SISTEMAS Y AUTOMATICA | humanoides | ón de robots | robots | robots articulados | robots industriales | robots manipuladores | óviles | ótica

License

http://creativecommons.org/licenses/by-nc-nd/2.5/es/

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16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.

Subjects

cognitive robotics | robotic systems | intelligence algorithms | robustness algorithms | intelligence paradigms | robustness paradigms | autonomous robots | mars explorers | cooperative air vehicles | embedded devices | real-time deduction | real-time search | temporal planning | decision-theoretic planning | contingency planning | dynamic execution | dynamics re-planning | reasoning | path planning | reasoning under uncertainty | mapping | localization | cooperative robotics | distributed robotics | mars exploration rover | nursebot | museum tourguide | human-interaction systems

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.

Subjects

cognitive robotics | robotic systems | intelligence algorithms | robustness algorithms | intelligence paradigms | robustness paradigms | autonomous robots | mars explorers | cooperative air vehicles | embedded devices | real-time deduction | real-time search | temporal planning | decision-theoretic planning | contingency planning | dynamic execution | dynamics re-planning | reasoning | path planning | reasoning under uncertainty | mapping | localization | cooperative robotics | distributed robotics | mars exploration rover | nursebot | museum tourguide | human-interaction systems

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.832 Underactuated Robotics (MIT) 6.832 Underactuated Robotics (MIT)

Description

Includes audio/video content: AV lectures. Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/a Includes audio/video content: AV lectures. Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/a

Subjects

underactuated robotics | underactuated robotics | actuated systems | actuated systems | nonlinear dynamics | nonlinear dynamics | simple pendulum | simple pendulum | optimal control | optimal control | double integrator | double integrator | quadratic regulator | quadratic regulator | Hamilton-Jacobi-Bellman sufficiency | Hamilton-Jacobi-Bellman sufficiency | minimum time control | minimum time control | acrobot | acrobot | cart-pole | cart-pole | partial feedback linearization | partial feedback linearization | energy shaping | energy shaping | policy search | policy search | open-loop optimal control | open-loop optimal control | trajectory stabilization | trajectory stabilization | iterative linear quadratic regulator | iterative linear quadratic regulator | differential dynamic programming | differential dynamic programming | walking models | walking models | rimless wheel | rimless wheel | compass gait | compass gait | kneed compass gait | kneed compass gait | feedback control | feedback control | running models | running models | spring-loaded inverted pendulum | spring-loaded inverted pendulum | Raibert hoppers | Raibert hoppers | motion planning | motion planning | randomized motion planning | randomized motion planning | rapidly-exploring randomized trees | rapidly-exploring randomized trees | probabilistic road maps | probabilistic road maps | feedback motion planning | feedback motion planning | planning with funnels | planning with funnels | linear quadratic regulator | linear quadratic regulator | function approximation | function approximation | state distribution dynamics | state distribution dynamics | state estimation | state estimation | stochastic optimal control | stochastic optimal control | aircraft | aircraft | swimming | swimming | flapping flight | flapping flight | randomized policy gradient | randomized policy gradient | model-free value methods | model-free value methods | temporarl difference learning | temporarl difference learning | Q-learning | Q-learning | actor-critic methods | actor-critic methods

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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SP.293 Lego Robotics (MIT) SP.293 Lego Robotics (MIT)

Description

LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors. LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors.

Subjects

lego | lego | robot | robot | robotics | robotics | sensors | sensors | building techniques | building techniques | motors | motors | gearing | gearing | Handyboards | Handyboards

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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ES.293 Lego Robotics (MIT) ES.293 Lego Robotics (MIT)

Description

LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors. LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors.

Subjects

lego | lego | robot | robot | robotics | robotics | sensors | sensors | building techniques | building techniques | motors | motors | gearing | gearing | Handyboards | Handyboards

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.12 Introduction to Robotics (MIT)

Description

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.

Subjects

robot | robot design | rescue | recovery | automation | dynamics | statics | intelligent control | planar and spatial kinematics | motion planning | manipulator | mobile robots | multi-rigid-body dynamics | 3D graphic simulation | control design | actuator | sensor | task modeling | human-machine interface | embedded software | servo | servomechanism | real-time control | computer vision | navigation | tele-robotics | virtual reality

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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ÓTICA (2008)

Description

La asignatura Robótica permitirá, al titulado ingeniero informático que la curse, conocer los conceptos básicos de los sistemas robotizados en sus vertientes: - robots articulados - robots móviles - robots humanoides y conocer la programación básica de cada una de los diferentes tipos de robots.

Subjects

INGENIERIA DE SISTEMAS Y AUTOMATICA | ótica | control de robots | ón de robots | robots | robots humanoides | óviles

License

http://creativecommons.org/licenses/by-nc-nd/2.5/es/

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2.737 Mechatronics (MIT) 2.737 Mechatronics (MIT)

Description

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems. This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

Subjects

mechatronics | mechatronics | mechatronic systems | mechatronic systems | control systems | control systems | electrical systems | electrical systems | mechanical systems | mechanical systems | robots | robots | robotics | robotics | LabVIEW | LabVIEW | control electronics | control electronics | electromechanics | electromechanics | mechanical CAD | mechanical CAD | digital control systems | digital control systems | laboratory | laboratory | design | design | software | software | hardware | hardware | computation | computation | digital logic | digital logic | analog interfacing | analog interfacing | power amplifier | power amplifier | measurement | measurement | sensing | sensing | transducer | transducer

License

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2.12 Introduction to Robotics (MIT)

Description

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.

Subjects

robot | robot design | rescue | recovery | automation | dynamics | statics | intelligent control | planar and spatial kinematics | motion planning | manipulator | mobile robots | multi-rigid-body dynamics | 3D graphic simulation | control design | actuator | sensor | task modeling | human-machine interface | embedded software | servo | servomechanism | real-time control | computer vision | navigation | tele-robotics | virtual reality

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.01 Introduction to Electrical Engineering and Computer Science I (MIT) 6.01 Introduction to Electrical Engineering and Computer Science I (MIT)

Description

6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of computer programs, electronic circuits, discrete-time controllers, and noisy and/or uncertain systems. 6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of computer programs, electronic circuits, discrete-time controllers, and noisy and/or uncertain systems.

Subjects

robots | robots | python | python | computer programs | computer programs | circuits | circuits | systems | systems | inheritance | inheritance | recursion | recursion | functional programming | functional programming | signals | signals | control | control | circuit abstractions | circuit abstractions | probability | probability | discrete probability | discrete probability | search algorithms | search algorithms | state machines | state machines | probabilistic state estimation | probabilistic state estimation | decision-making | decision-making | search | search | python robots | python robots

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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MAS.965 Special Topics in Media Technology: Cooperative Machines (MIT) MAS.965 Special Topics in Media Technology: Cooperative Machines (MIT)

Description

This course examines the issues, principles, and challenges toward building machines that cooperate with humans and with other machines. Philosophical, scientific, and theoretical insights into this subject will be covered, as well as how these ideas are manifest in both natural and artificial systems (e.g. software agents and robots). This course examines the issues, principles, and challenges toward building machines that cooperate with humans and with other machines. Philosophical, scientific, and theoretical insights into this subject will be covered, as well as how these ideas are manifest in both natural and artificial systems (e.g. software agents and robots).

Subjects

cooperative machines | cooperative machines | robotics | robotics | electrical engineering | electrical engineering | manufacture | manufacture | human interaction | human interaction | perception | perception | emotion | emotion | theory of mind | theory of mind | behavior and the mind | behavior and the mind | robots | robots | human-machine collaboration | human-machine collaboration | intention and action | intention and action | teamwork | teamwork

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.12 Introduction to Robotics (MIT)

Description

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.Technical RequirementsRealOne™ Player software is required to run the .rm files found on this course site.

Subjects

robot | robot design | dynamics | statics | intelligent control | planar and spatial kinematics | motion planning | manipulator | mobile robots | multi-rigid-body dynamics | 3D graphic simulation | control design | actuator | sensor | task modeling | human-machine interface | embedded software | servo | servomechanism | real-time control | computer vision | navigation | tele-robotics | virtual reality

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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MAS.965 Relational Machines (MIT)

Description

This course examines the issues, principles, and challenges toward building relational machines through a combination of studio-style design and critique along with lecture, lively discussion of course readings, and assignments. Insights from social psychology, human-computer interaction, and design will be examined, as well as how these ideas are manifest in a broad range of applications for software agents and robots.

Subjects

relational machines | emotional design | technology | human relationships | emotional expression | representation and manipulation | measuring relationships and interactions | assitive robotics for elderly | robotic pets | robotic therapy | language processing | machine teammates | collaboration | interactive learning | tutorials | wearable agent interaction | ambient agent interaction

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Readme file for Introduction to Artificial Intelligence

Description

This readme file contains details of links to all the Introduction to Artificial Intelligence module's material held on Jorum and information about the module as well.

Subjects

ukoer | evolutionary algorithm lecture | algorithm tutorial | genetic algorithm lecture | genetic algorithm example | evolutionary computation tutorial | artificial intelligence lecture | artificial intelligence tutorial | random processes reading material | semantic web reading material | neural networks video | evolutionary computation test | artificial intelligence test | knowledge representation test | neural networks test | evolutionary algorithm | genetic computation | genetic programming | evolutionary computation | artificial intelligence | introduction to artificial intelligence | search | problem solving | revision | knowledge representation | semantic web | neural network | neural networks | artificial neural networks | swarm intelligence | collective intelligence | robot societies | genetic computation lecture | genetic programming lecture | evolutionary computation lecture | introduction to artificial intelligence lecture | evolutionary algorithm tutorial | genetic computation tutorial | genetic programming tutorial | introduction to artificial intelligence tutorial | evolutionary algorithm example | genetic computation example | genetic programming example | evolutionary computation example | artificial intelligence example | introduction to artificial intelligence example | search lecture | problem solving lecture | search tutorial | problem solving tutorial | search example | problem solving example | revision reading material | search reading material | artificial intelligence reading material | introduction to artificial intelligence reading material | revision lecture | knowledge representation lecture | semantic web lecture | knowledge representation practical | semantic web practical | artificial intelligence practical | introduction to artificial intelligence practical | knowledge representation reading material | knowledge representation notes | semantic web notes | artificial intelligence notes | introduction to artificial intelligence notes | neural network lecture | neural networks lecture | artificial neural networks lecture | neural network reading material | neural networks reading material | artificial neural networks reading material | neural network practical | neural networks practical | artificial neural networks practical | neural network viewing material | neural networks viewing material | artificial neural networks viewing material | artificial intelligence viewing material | introduction to artificial intelligence viewing material | swarm intelligence lecture | collective intelligence lecture | robot societies lecture | swarm intelligence tutorial | collective intelligence tutorial | robot societies tutorial | evolutionary algorithm test | genetic computation test | genetic programming test | introduction to artificial intelligence test | search test | problem solving test | semantic web test | neural network test | artificial neural networks test | g700 | ai | g700 lecture | ai lecture | g700 tutorial | ai tutorial | g700 example | ai example | g700 reading material | ai reading material | g700 practical | ai practical | g700 notes | ai notes | g700 viewing material | ai viewing material | g700 test | ai test | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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2015 NASA Centennial Challenges Sample Return Robot Challenge

Description

Subjects

2015samplereturnrobotchallenge | armyofangryrobots | ma | massachusetts | samplereturnrobotchallenge | usa | worcester | worcesterpolytechnicinstitute

License

No known copyright restrictions

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2.A35 Biomimetic Principles and Design (MIT)

Description

Biomimetics is based on the belief that nature, at least at times, is a good engineer. Biomimesis is the scientific method of learning new principles and processes based on systematic study, observation and experimentation with live animals and organisms. This Freshman Advising Seminar on the topic is a way for freshmen to explore some of MIT's richness and learn more about what they may want to study in later years.

Subjects

biomimetics | biomimicry | biomimesis | nature | reverse engineering | bionics | adaptation | genetic algorithms | politics | design | imitate | robot | robotics | robotuna | fluid mechanics | fish | swim | submarine | complexity

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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