collaborators

11 papers

cs.RO2026

Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking

Tao Huang, Ruofei Liu, Xuchen Tang +15

Humanoid robots have recently demonstrated promising capabilities in real-world ball sports. However, achieving professional motion styles while maintaining strong task performance…

cs.RO2026

Scaling Behavior Foundation Model for Humanoid Robots

Weishuai Zeng, Kangning Yin, Xiaojie Niu +15

Humanoid control requires natural whole-body coordination, precise real-time responses to control signals, and robust generalization across diverse environmental contexts, making i…

cs.RO2026

Imagine2Real: Towards Zero-shot Humanoid-Object Interaction via Video Generative Priors

Jiahe Chen, ZiRui Wang, Feiyu Jia +7

Whole-body Humanoid-Object Interaction (HOI) is bottlenecked by the scarcity of high-fidelity 3D data. While video generative priors offer a promising alternative, existing methods…

cs.RO2026

Feel Robot Feels: Tactile Feedback Array Glove for Dexterous Manipulation

Feiyu Jia, Xiaojie Niu, Sizhe Yang +5

Teleoperation is a key approach for collecting high-quality, physically consistent demonstrations for robotic manipulation. However, teleoperation for dexterous manipulation remain…

cs.RO2026

One-Policy-Fits-All: Geometry-Aware Action Latents for Cross-Embodiment Manipulation

Juncheng Mu, Sizhe Yang, Hojin Bae +5

Cross-embodiment manipulation is crucial for enhancing the scalability of robot manipulation and reducing the high cost of data collection. However, the significant differences bet…

cs.RO2025

Gallant: Voxel Grid-based Humanoid Locomotion and Local-navigation across 3D Constrained Terrains

Qingwei Ben, Botian Xu, Kailin Li +6

Robust humanoid locomotion requires accurate and globally consistent perception of the surrounding 3D environment. However, existing perception modules, mainly based on depth image…

cs.RO2025

Towards Adaptable Humanoid Control via Adaptive Motion Tracking

Tao Huang, Huayi Wang, Junli Ren +8

Humanoid robots are envisioned to adapt demonstrated motions to diverse real-world conditions while accurately preserving motion patterns. Existing motion prior approaches enable w…

cs.RO2025

PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System

Huayi Wang, Wentao Zhang, Runyi Yu +10

Deploying humanoid robots to interact with real-world environments--such as carrying objects or sitting on chairs--requires generalizable, lifelike motions and robust scene percept…

cs.RO2025

Humanoid Goalkeeper: Learning from Position Conditioned Task-Motion Constraints

Junli Ren, Junfeng Long, Tao Huang +7

We present a reinforcement learning framework for autonomous goalkeeping with humanoid robots in real-world scenarios. While prior work has demonstrated similar capabilities on qua…

cs.RO2025

TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation

Hangyu Li, Qin Zhao, Haoran Xu +10

Teleoperation is a cornerstone of embodied-robot learning, and bimanual dexterous teleoperation in particular provides rich demonstrations that are difficult to obtain with fully a…

cs.RO2025

HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit

Qingwei Ben, Feiyu Jia, Jia Zeng +3

Generalizable humanoid loco-manipulation poses significant challenges, requiring coordinated whole-body control and precise, contact-rich object manipulation. To address this, this…