Difference between revisions of "Cognitive Robotics"
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==<span style="color:#AB0000">Learning objectives:</span> == | ==<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. | + | 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. In this course, students will learn about the fundamentals of 2D and 3D visual sensing, focussing on the some essential techniques for mobile robots and robot arms. They will then learn about the kinematics and inverse kinematics of mobile robots, addressing locomotion, mapping, and path planning, as well as robot arm kinematics, manipulation, and programming. Based on these foundations, students will progress quickly to cover the topics that gives cognitive robotics its special focus, including reasoning, cognitive architectures, learning and development, memory, attention, prospection by internal simulation, and social interaction. |
| + | |||
==<span style="color:#AB0000">Outcomes:</span> == | ==<span style="color:#AB0000">Outcomes:</span> == | ||
After completing this course, students should be able to: | After completing this course, students should be able to: | ||
| + | * General: remember, understand, apply, analyze, evaluate, create | ||
| + | * Factual knowledge: list, summarize, classify, order, rank, combine | ||
| + | * Conceptual knowledge: describe, interpret, experiment, explain, assess, plan | ||
| + | * Procedural knowledge: tabulate, predict, calculate, differentiate, conclude, compose | ||
| + | * Meta-cogntive knowledge: use, execute, construct, achieve, action, actualize | ||
| + | |||
==<span style="color:#AB0000">Content details:</span> == | ==<span style="color:#AB0000">Content details:</span> == | ||
Revision as of 12:12, 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
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. In this course, students will learn about the fundamentals of 2D and 3D visual sensing, focussing on the some essential techniques for mobile robots and robot arms. They will then learn about the kinematics and inverse kinematics of mobile robots, addressing locomotion, mapping, and path planning, as well as robot arm kinematics, manipulation, and programming. Based on these foundations, students will progress quickly to cover the topics that gives cognitive robotics its special focus, including reasoning, cognitive architectures, learning and development, memory, attention, prospection by internal simulation, and social interaction.
Outcomes:
After completing this course, students should be able to:
- General: remember, understand, apply, analyze, evaluate, create
- Factual knowledge: list, summarize, classify, order, rank, combine
- Conceptual knowledge: describe, interpret, experiment, explain, assess, plan
- Procedural knowledge: tabulate, predict, calculate, differentiate, conclude, compose
- Meta-cogntive knowledge: use, execute, construct, achieve, action, actualize
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.
