Problem
Research questions and friction points this paper is trying to address.
whole-body robot teleoperation
control strategies
task constraints
active perception
bimanual manipulation
Understanding Whole-Body Robot Teleoperation Strategies Under Diverse Task Objectives and Constraints
🤖 AI Summary
研究通过结合自由形式和约束控制的混合控制框架，解决复杂全身机器人遥操作中的协调感知、双臂操作和导航问题，提高任务效率并减少关节限制风险。
📝 Abstract
This work investigates the control strategies of complex whole-body robot teleoperation that coordinate active perception, bimanual manipulation, and navigation. We developed a hybrid control framework, combining the free-form and constrained control, for the whole-body teleoperation of the TIAGo mobile manipulator. We conducted a user study to explore people's control strategies under different task constraints such as limited time and low tolerance of errors. Our results highlight the effective use of coordinated control in improving task efficiency and reducing the risk of reaching individual joint limits. We discuss our results and their implications for designing future whole-body robot teleoperation systems.
Innovation
Methods, ideas, or system contributions that make the work stand out.
hybrid control framework
whole-body teleoperation
coordinated control
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2024-09-23Citations: 1
