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20242026
most citedKOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation

1 citations · 1 across the 5 of their papers we have counts for

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cs.RO2026

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…

cs.RO2026

SemAnCorr: Semantic Anchored Correspondence for Zero-Shot Manipulation Skill Transfer

Xiaoxiang Dong, William Baron, Hongyi Chen +3

Transferring manipulation skills across object instances that share functionality but differ in geometry remains a fundamental challenge in robot learning. While recent corresponde…

cs.RO2026

Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction

Hongyi Chen, Tony Dong, Tiancheng Wu +7

Multi-finger robotic hand manipulation and grasping are challenging due to the high-dimensional action space and the difficulty of acquiring large-scale training data. Existing app…

cs.RO2024

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Hongyi Chen, Yunchao Yao, Ruixuan Liu +2

Current robot autonomy struggles to operate beyond the assumed Operational Design Domain (ODD), the specific set of conditions and environments in which the system is designed to f…

cs.RO2024★ 1 cited

KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation

Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal +4

Learning dexterous manipulation skills presents significant challenges due to complex nonlinear dynamics that underlie the interactions between objects and multi-fingered hands. Ko…