Teleoperation method improves remote robot wrist control under limits
Preserving Operator Intent Under Actuation Constraints: Teleoperation of Manipulators with Coupled Transmissions
Robotics
Summary
Controlling remote robots can be tricky when motors hit their limits or gravity makes movements harder. The authors created a new way to map a human operator’s hand movements to a robot’s joints that respects these physical limits. Their method avoids jerky or awkward wrist motions by coordinating motor limits and predicting feasible moves, even when signals drop briefly. Tests on real robots showed smoother, more natural wrist control than previous direct mapping methods.
What this means in practice
- •For robotics engineers: Improve remote robot manipulator control by maintaining smooth wrist coordination despite motor limits and gravitational effects.
- •For surgical device developers: Enable safer and more precise teleoperated surgical tools by reducing abrupt movements caused by actuator constraints.
Authors
Xuhan Miao, Zijin Han, Yutong Shen, Haidong Huang, Shanliushui Gao, Lei Zhang, Xiaocong Li, Chenguang Yang
Abstract
Teleoperation enables intuitive control of remote engineering robots for precision tasks. Existing direct joint-mapping methods have two limitations: independent motor saturation disrupts pitch-roll coordination in differential wrists, while fixed mappings struggle with abrupt tracking changes caused by gravitational loads and actuation constraints. We propose an actuator-constraint-aware leader-follower teleoperation method that jointly models leader gravity compensation, leader-follower joint mapping, and follower differential-wrist control. Specifically, we perform coordinated saturation in motor space according to the available gravity margin and integrate continuous angle unwrapping, feedback-state monitoring, and feasible-reference updates. This preserves the operator's motion direction, reduces coordination distortion, and suppresses recovery transients during saturation or brief communication failures. Real-robot experiments demonstrate smoother wrist trajectories and more continuous recovery than direct mapping.