Author

Letian Fu

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#artificial intelligence Jun 2026

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

Achieving dexterous robotic manipulation in the real world heavily relies on human supervision and algorithm engineering, which becomes a central bottleneck in the pursuit of general physical intelligence. Although emerging coding agents can generate code to automate algorithm search, their successes remain largely con...

Wenli Xiao, Jia Xie, Tonghe Zhang et al. · arXiv.org · 41 citations · ⚡3

Jul 2026

GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks

Graph-as-Policy (GaP) is introduced, a multi-agent coding harness that generates directed computation graphs with perception, planning, and control nodes from a Modular Open Robot Skill Library (MORSL), and can achieve success rates that significantly outperform baselines.

Kai-Peng Chen, Shuang-Yu Xie, Letian Fu et al. · arXiv.org · 2 citations