Author

Chang Liu

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Preprint Oct 2026

AutoRSR: Automated Real-to-Sim-to-Real Data Generation for Scalable Robot Learning

Scaling embodied robot learning requires large and diverse manipulation datasets, but collecting real-world demonstrations remains expensive in human effort and robot time. Simulation provides a scalable alternative, yet converting a real workspace into a robot-learning-ready environment still requires substantial manu...

Jia-Wei Zhang, Chang Liu, Li-Tao Deng et al. · 0 citations

Jul 2026

HRIBench: Benchmarking Interaction-Centric Human-Robot Collaboration

HRIBench is introduced, a diagnostic benchmark for intent-aware human-robot collaboration based on executable interaction scenarios that represents collaborative tasks as structured scenario scripts that explicitly model agent roles, temporal dependencies, coordination constraints, and human behavior distributions.

Chang Liu, Jiawei Zhang, Tao Zhang et al. · arXiv.org · 0 citations