3 papers
cs.RO2026
When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
Jessie Yuan, Yilin Wu, Andrea Bajcsy
Policy steering is an emerging way to adapt robot behaviors at deployment-time: a learned verifier analyzes low-level action samples proposed by a pre-trained policy (e.g., diffusi…
cs.RO2025
WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding
Akhil Padmanabha, Jessie Yuan, Tanisha Mehta +10
Millions of people around the world need assistance with feeding. Robotic feeding systems offer the potential to enhance autonomy and quality of life for individuals with impairmen…
cs.RO2024
Towards an LLM-Based Speech Interface for Robot-Assisted Feeding
Jessie Yuan, Janavi Gupta, Akhil Padmanabha +4
Physically assistive robots present an opportunity to significantly increase the well-being and independence of individuals with motor impairments or other forms of disability who…