activity
20162026
most citedDeep Haptic Model Predictive Control for Robot-Assisted Dressing

75 citations · 285 across the 48 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024★ 1 cited

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…

cs.LG2024★ 1 cited

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…

cs.LG2023★ 12 cited

A Multimodal Sensing Ring for Quantification of Scratch Intensity

Akhil Padmanabha, Sonal Choudhary, Carmel Majidi +1

An objective measurement of chronic itch is necessary for improvements in patient care for numerous medical conditions. While wearables have shown promise for scratch detection, th…

cs.LG2022★ 4 cited

Learning Representations that Enable Generalization in Assistive Tasks

Jerry Zhi-Yang He, Aditi Raghunathan, Daniel S. Brown +2

Recent work in sim2real has successfully enabled robots to act in physical environments by training in simulation with a diverse ''population'' of environments (i.e. domain randomi…

cs.LG2022★ 3 cited

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning

Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson +2

Learning policies via preference-based reward learning is an increasingly popular method for customizing agent behavior, but has been shown anecdotally to be prone to spurious corr…