Difference between revisions of "Cognitive Robotics"
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| − | + | <span style="color:#AB0000">XX-YYY</span> | |
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| − | = | + | <span style="color:#AB0000">Course discipline:</span> TBD |
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| − | = | + | <span style="color:#AB0000">Elective</span> |
| − | ==Outcomes:== | + | <span style="color:#AB0000">Units:</span> 12 (could also be configured as two seven-week independent 6 unit minis, running consecutively) |
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| + | <span style="color:#AB0000">Lecture/Lab/Rep hours/week:</span> 3 hours lecture/week, 3 hours lab/week | ||
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| + | <span style="color:#AB0000">Semester:</span> Spring | ||
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| + | <span style="color:#AB0000">Pre-requisites:</span> Programming skills | ||
| + | |||
| + | ==<span style="color:#AB0000">Course description:</span> == | ||
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| + | The course emphasizes both theory and practice and makes extensive use of physical robots, both mobile and manipulator arm, as well as different sensor technologies including RGB-D cameras. | ||
| + | |||
| + | ==<span style="color:#AB0000">Learning objectives:</span> == | ||
| + | The primary goal of this course is provide students with an intensive treatment of a cross-section of the key elements of robotics and robot vision. It begins by addressing the fundamentals of 2D and 3D visual sensing, focussing on the some essential techniques for mobile robots and robot arms. It then deals with the kinematics and inverse kinematics of mobile robots, addressing locomotion, mapping, and path planning, This is followed by robot arm kinematics, manipulation, and programming. Based on these foundations, it builds quickly to cover more advanced topics, including reasoning, cognition, cognitive architectures, learning and development, memory, attention, prospection by internal simulation, and social interaction. | ||
| + | ==<span style="color:#AB0000">Outcomes:</span> == | ||
After completing this course, students should be able to: | After completing this course, students should be able to: | ||
| − | ==Content details:== | + | ==<span style="color:#AB0000">Content details:</span> == |
(For a detailed lecture plan, see [[Cognitive Robotics Lecture Plan]]. | (For a detailed lecture plan, see [[Cognitive Robotics Lecture Plan]]. | ||
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| − | ==Faculty:== David Vernon | + | ==<span style="color:#AB0000">Faculty:</span> == |
| − | + | David Vernon | |
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| − | == | + | ==<span style="color:#AB0000">Delivery:</span> == |
| + | Face-to-face | ||
| + | ==<span style="color:#AB0000">Recommended reading</span> == | ||
[http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/vernon.htm Vernon 1991] D. Vernon, ''Machine Vision: Automated Visual Inspection and Robot Vision'', Prentice-Hall, 1991. | [http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/vernon.htm Vernon 1991] D. Vernon, ''Machine Vision: Automated Visual Inspection and Robot Vision'', Prentice-Hall, 1991. | ||
Revision as of 10:33, 4 November 2016
XX-YYY
Course discipline: TBD
Elective
Units: 12 (could also be configured as two seven-week independent 6 unit minis, running consecutively)
Lecture/Lab/Rep hours/week: 3 hours lecture/week, 3 hours lab/week
Semester: Spring
Pre-requisites: Programming skills
Contents
Course description:
The course emphasizes both theory and practice and makes extensive use of physical robots, both mobile and manipulator arm, as well as different sensor technologies including RGB-D cameras.
Learning objectives:
The primary goal of this course is provide students with an intensive treatment of a cross-section of the key elements of robotics and robot vision. It begins by addressing the fundamentals of 2D and 3D visual sensing, focussing on the some essential techniques for mobile robots and robot arms. It then deals with the kinematics and inverse kinematics of mobile robots, addressing locomotion, mapping, and path planning, This is followed by robot arm kinematics, manipulation, and programming. Based on these foundations, it builds quickly to cover more advanced topics, including reasoning, cognition, cognitive architectures, learning and development, memory, attention, prospection by internal simulation, and social interaction.
Outcomes:
After completing this course, students should be able to:
Content details:
(For a detailed lecture plan, see Cognitive Robotics Lecture Plan.
The course will cover the following topics:
Faculty:
David Vernon
Delivery:
Face-to-face
Recommended reading
Vernon 1991 D. Vernon, Machine Vision: Automated Visual Inspection and Robot Vision, Prentice-Hall, 1991.
