collaborators

5 papers

cs.RO2026

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone

Simple AI, :, Yuteng Wei +16

Learning deployable manipulation policies is bottlenecked by the scarcity of data that is both high-fidelity and scalable. Real-robot teleoperation is accurate but costly to scale;…

cs.RO2026

TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion

Peizhuo Li, Hongyi Li, Mingfeng Fan +9

Agile humanoid locomotion across diverse challenging terrain demands both wide perceptual coverage and precise local geometry understanding. Motivated by the way humans selectively…

cs.RO2026

Switch-JustDance: Benchmarking Whole Body Motion Tracking Controllers Using a Commercial Console Game

Jeonghwan Kim, Wontaek Kim, Yidan Lu +9

Recent advances in whole-body robot control have enabled humanoid and legged robots to perform increasingly agile and coordinated motions. However, standardized benchmarks for eval…

cs.RO2026

Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

Zhikai Zhang, Haofei Lu, Yunrui Lian +12

Human athletes demonstrate versatile and highly-dynamic tennis skills to successfully conduct competitive rallies with a high-speed tennis ball. However, reproducing such behaviors…

cs.RO2026

Collision-Free Humanoid Traversal in Cluttered Indoor Scenes

Han Xue, Sikai Liang, Zhikai Zhang +7

We study the problem of collision-free humanoid traversal in cluttered indoor scenes, such as hurdling over objects scattered on the floor, crouching under low-hanging obstacles, o…