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Why It Matters
Robot foundation models provide strong visuomotor control, yet their performance can degrade when object positions or task instructions change.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
Robot foundation models provide strong visuomotor control, yet their performance can degrade when object positions or task instructions change. Further improvements often require post-training on substantial robot data, which can be costly to collect through methods such as teleoperation. Agentic harnesses can adapt around the model, but current self-evolving harnesses use robot trials inefficiently when deciding which code and skill changes to pursue. We introduce EmbodiedRSI, a self-evolving agentic harness that autonomously decides where to explore next and turns the resulting physical inte...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2610.10498v1 · Indexed about 2 hours ago