3 papers
cs.RO2026
When the Simulator Fails, Not the Policy: Auditing Contact Artifacts in Simulated Robot Benchmarks
Alex Zhou, Junhao Wu, Xueyang Zhou +5
Simulation benchmarks score robot policies by success rate, and every failed episode counts against the policy. Many of these failures are the simulator's fault, not the policy's;…
cs.RO2026
DAVIS: A Depth-Only End-to-End Active-Vision Framework for Humanoid Soccer Skills
Jiakang Jin, Yixiao Huo, Pengyuan Wang +12
Humanoid soccer contact skills require more than producing high-impact foot-ball contacts: the robot must close the loop over perception, approach, alignment, impact, and recovery…
cs.RO2026
SkillX: Unified Multi-Skill Policy Learning for Humanoid Soccer
Zhangchen Ye, Enxuan Ruan, Yifei Bao +10
Humanoid soccer is a challenging testbed for dynamic whole-body control, requiring robots to coordinate balance, locomotion, object interaction, and skill switching over long horiz…