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cs.RO2026
TinyAstral: Transferring Self-Evolving Harnesses to Tiny Generalist Manipulation Agents
Kehong Gong, Xiaoxu Zheng, Guanli Hou +8
Robot agents built on vision-language models depend on both the planner and its harness: the tools, feedback, memory, and recovery logic around it. Can improvements to a large teac…
cs.RO2026
RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
Jingsong Liang, Shuhao Liao, Shizhe Zhang +15
A foundation model should not act in isolation as an embodied agent. Yet, existing methods often optimize individual components of the agent stack, such as memory, context, skills,…