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20242026
most citedNetLLM: Adapting Large Language Models for Networking

161 citations · 161 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

ForceBand: Learning Forceful Manipulation with sEMG

Botao He, Zhi Wang, Linna Kuang +8

Human demonstrations are a scalable data source for learning robot manipulation policies. However, common sources of human demonstration data, such as motion-capture trajectories a…

cs.RO2026

HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos

Zhi Wang, Botao He, Kelin Yu +4

Human egocentric video captures rich manipulation demonstrations without any robot hardware, yet transferring these skills to robots remains challenging due to the embodiment gap b…

cs.RO2026

DuetHOI: Language-Guided Bimanual Hand--Object Motion Generation with Articulation Planning and Contact Refinement

Zhi Wang, Yuyan Liu, Liu liu +2

Bimanual articulated-object interaction generation requires a model to capture the evolution of object articulation, coordination between the two hands, and fine-grained hand--obje…

cs.RO2025

IGen: Scalable Data Generation for Robot Learning from Open-World Images

Chenghao Gu, Haolan Kang, Junchao Lin +10

The rise of generalist robotic policies has created an exponential demand for large-scale training data. However, on-robot data collection is labor-intensive and often limited to s…

cs.RO2025

DoorBot: Closed-Loop Task Planning and Manipulation for Door Opening in the Wild with Haptic Feedback

Zhi Wang, Yuchen Mo, Shengmiao Jin +1

Robots operating in unstructured environments face significant challenges when interacting with everyday objects like doors. They particularly struggle to generalize across diverse…