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.
Continuous tongue robot mapping for paralyzed individuals improves the functional per- formance of tongue-based robotic assistance,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.