75 citations · 285 across the 48 of their papers we have counts for
14 papers · 1 filter
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
Jehan Yang, Maxwell Soh, Vivianna Lieu +2
This paper introduces the first generalization and adaptation benchmark using machine learning for evaluating out-of-distribution performance of electromyography (EMG) classificati…
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
Sreyas Venkataraman, Yufei Wang, Ziyu Wang +3
Offline reinforcement learning can enable policy learning from pre-collected, sub-optimal datasets without online interactions. This makes it ideal for real-world robots and safety…
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…
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…
Do Mistakes Matter? Comparing Trust Responses of Different Age Groups to Errors Made by Physically Assistive Robots
Sasha Wald, Kavya Puthuveetil, Zackory Erickson
Trust is a key factor in ensuring acceptable human-robot interaction, especially in settings where robots may be assisting with critical activities of daily living. When practicall…
Unfolding the Literature: A Review of Robotic Cloth Manipulation
Alberta Longhini, Yufei Wang, Irene Garcia-Camacho +9
The realm of textiles spans clothing, households, healthcare, sports, and industrial applications. The deformable nature of these objects poses unique challenges that prior work on…
RoboCAP: Robotic Classification and Precision Pouring of Diverse Liquids and Granular Media with Capacitive Sensing
Yexin Hu, Alexandra Gillespie, Akhil Padmanabha +4
Liquids and granular media are pervasive throughout human environments, yet remain particularly challenging for robots to sense and manipulate precisely. In this work, we present a…
SkinGrip: An Adaptive Soft Robotic Manipulator with Capacitive Sensing for Whole-Limb Bed Bathing Assistance
Fukang Liu, Kavya Puthuveetil, Akhil Padmanabha +3
Robotics presents a promising opportunity for enhancing bathing assistance, potentially to alleviate labor shortages and reduce care costs, while offering consistent and gentle car…
BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
Abhishek Tandon, Anujraaj Goyal, Henry M. Clever +1
Accurately predicting the 3D human posture and the pressure exerted on the body for people resting in bed, visualized as a body mesh (3D pose & shape) with a 3D pressure map, holds…
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…
AdaFold: Adapting Folding Trajectories of Cloths via Feedback-loop Manipulation
Alberta Longhini, Michael C. Welle, Zackory Erickson +1
We present AdaFold, a model-based feedback-loop framework for optimizing folding trajectories. AdaFold extracts a particle-based representation of cloth from RGB-D images and feeds…
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan, Ziyu Wang, Yufei Wang +2
This paper introduces DiffTORI, which utilizes Differentiable Trajectory Optimization as the policy representation to generate actions for deep Reinforcement and Imitation learning…
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Yufei Wang, Zhanyi Sun, Jesse Zhang +4
Reward engineering has long been a challenge in Reinforcement Learning (RL) research, as it often requires extensive human effort and iterative processes of trial-and-error to desi…
Independence in the Home: A Wearable Interface for a Person with Quadriplegia to Teleoperate a Mobile Manipulator
Akhil Padmanabha, Janavi Gupta, Chen Chen +5
Teleoperation of mobile manipulators within a home environment can significantly enhance the independence of individuals with severe motor impairments, allowing them to regain the…