Author

Jing-Song Liang

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#artificial intelligence Preprint Sep 2026

RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents

RoboFoundry is proposed, the first embodied agentic framework that formulates this process of system-as-policy evolution across foundation models as Self-Evolving System-as-Policy, highlighting its potential for fully autonomous embodied agents.

Jing-Song Liang, Shu-Hao Liao, Shi-Zhe Zhang et al. · 0 citations

Jul 2026

Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Chassis Adaptation

DynaDreamer is proposed, a dynamics-augmented Dreamer-style reinforcement learning method to address the problem of egocentric driving by augmenting the WM with an explicit ego-dynamics prior, and improves task success rates over the strongest baseline.

Zhidong Wang, Jingsong Liang, Zirui Li et al. · arXiv.org · 0 citations