An LLM-based system that predicts joystick-to-robot control mappings from natural language task context, and refines those predictions from user corrections, reduces manual mode switches in assistive teleoperation.
Integrated electromyogram and eye-gaze tracking cursor control system for com- puter users with motor disabilities,
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LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation
An LLM-based system that predicts joystick-to-robot control mappings from natural language task context, and refines those predictions from user corrections, reduces manual mode switches in assistive teleoperation.