45 citations · 108 across the 26 of their papers we have counts for
9 papers · 1 filter
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…
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao, Reid Simmons, Henny Admoni +2
In interactive imitation learning (IL), uncertainty quantification offers a way for the learner (i.e. robot) to contend with distribution shifts encountered during deployment by ac…
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement
Benjamin A. Newman, Pranay Gupta, Kris Kitani +3
De gustibus non est disputandum ("there is no accounting for others' tastes") is a common Latin maxim describing how many solutions in life are determined by people's personal pref…
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
Michelle Zhao, Reid Simmons, Henny Admoni +1
Assistive robotic arms often have more degrees-of-freedom than a human teleoperator can control with a low-dimensional input, like a joystick. To overcome this challenge, existing…
Closed-loop Teaching via Demonstrations to Improve Policy Transparency
Michael S. Lee, Reid Simmons, Henny Admoni
Demonstrations are a powerful way of increasing the transparency of AI policies. Though informative demonstrations may be selected a priori through the machine teaching paradigm, s…
Understanding Robot Minds: Leveraging Machine Teaching for Transparent Human-Robot Collaboration Across Diverse Groups
Suresh Kumaar Jayaraman, Reid Simmons, Aaron Steinfeld +1
In this work, we aim to improve transparency and efficacy in human-robot collaboration by developing machine teaching algorithms suitable for groups with varied learning capabiliti…
Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration
Benjamin A Newman, Chris Paxton, Kris Kitani +1
Agents that assist people need to have well-initialized policies that can adapt quickly to align with their partners' reward functions. Initializing policies to maximize performanc…
VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robots
Akhil Padmanabha, Jessie Yuan, Janavi Gupta +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…
Paper index: Designing an introductory HRI course (workshop at HRI 2024)
Henny Admoni, Daniel Szafir, Wafa Johal +1
Human-robot interaction is now an established discipline. Dozens of HRI courses exist at universities worldwide, and some institutions even offer degrees in HRI. However, although…