activity
20232026
most citedDynamic Handover: Throw and Catch with Bimanual Hands

6 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulation

Sunghwan Kim, Byeonghyun Pak, Kehan Long +2

Long-horizon robot mobile manipulation requires continual reasoning about localization, environment changes, and task progress, all of which are challenging to infer from image obs…

cs.RO2026

Closed-Loop Object-Informed Control for Non-Prehensile Robot Manipulation

Nikola Raicevic, Hyomuk Kim, Bharath Raam Radhakrishnan +5

Non-prehensile robot manipulation is challenging due to discontinuous, long-horizon interactions between the robot and the objects it manipulates. Sampling-based model predictive c…

cs.RO2026

Adapting Neural Robot Dynamics on the Fly for Predictive Control

Abdullah Altawaitan, Nikolay Atanasov

Accurate dynamics models are critical for the design of predictive controllers for autonomous mobile robots. Physics-based models are often too simple to capture relevant real-worl…

cs.RO2024★ 1 cited

Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment

Tianyu Wang, Dwait Bhatt, Xiaolong Wang +1

This paper focuses on transferring control policies between robot manipulators with different morphology. While reinforcement learning (RL) methods have shown successful results in…

cs.RO2024★ 1 cited

Learning Generalizable Feature Fields for Mobile Manipulation

Ri-Zhao Qiu, Yafei Hu, Yuchen Song +8

An open problem in mobile manipulation is how to represent objects and scenes in a unified manner so that robots can use both for navigation and manipulation. The latter requires c…

cs.RO2023★ 6 cited

Dynamic Handover: Throw and Catch with Bimanual Hands

Binghao Huang, Yuanpei Chen, Tianyu Wang +4

Humans throw and catch objects all the time. However, such a seemingly common skill introduces a lot of challenges for robots to achieve: The robots need to operate such dynamic ac…