Presentation
52. Programming by Demonstration for Dual-Arm Manipulation
SessionPoster Session 2
DescriptionMotivated by the challenges robotic manipulator operators face with manual control tasks, including fatigue and workload management, this research explores the adoption of a semi-autonomous control method to improve the work environment quality for operators and task metrics in controlled situations. Building upon the success of Programming by Demonstration (PBD) for single-arm industrial
robotic applications, we seek to extend these techniques to dual-arm robotic control applications.
We present a semi-autonomous approach which allows users to supervise tasks while delegating
the cognitive load of control to the system, alleviating stress and fatigue associated with manual
control operations.
robotic applications, we seek to extend these techniques to dual-arm robotic control applications.
We present a semi-autonomous approach which allows users to supervise tasks while delegating
the cognitive load of control to the system, alleviating stress and fatigue associated with manual
control operations.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
Augmented Cognition
Children's Issues
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Human AI Robot Teaming (AI)
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System Development