4 papers · 1 filter
High Fidelity Capture, Reconstruction, and Transfer of Human Demonstrations for Robot-Assisted Bathing
Arjun S. Lakshmipathy, Jonathan P. King, Ethan Zuo +6
Despite the demand for robots in high-value clinical tasks like bathing, contemporary systems still lack the safety and reliability required for complex, sustained physical interac…
Low-Burden LLM-Based Preference Learning: Personalizing Assistive Robots from Natural Language Feedback for Users with Paralysis
Keshav Shankar, Dan Ding, Wei Gao
Physically Assistive Robots require personalized behaviors to ensure user safety and comfort. However, traditional preference learning methods, like exhaustive pairwise comparisons…
Incremental Learning for Robot Shared Autonomy
Yiran Tao, Guixiu Qiao, Dan Ding +1
Shared autonomy holds promise for improving the usability and accessibility of assistive robotic arms, but current methods often rely on costly expert demonstrations and remain sta…
LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation
Yiran Tao, Jehan Yang, Dan Ding +1
Teleoperating high degrees-of-freedom (DoF) robotic manipulators via low-DoF controllers like joysticks often requires frequent switching between control modes, where each mode map…