ASPIRE: Agentic Skill Programming through Iterative Robot Exploration
Overview
ASPIRE is a continual learning system that autonomously writes and refines robot control programs in a code-as-policy paradigm. It combines a closed-loop execution engine, a growing skill library, and an evolutionary search process to improve performance in manipulation tasks and enable zero-shot generalization. ASPIRE outperforms prior methods by up to 77% on perturbed manipulation tasks and achieves 99% success on LIBERO-Pro tasks with Claude Opus 5.5.
From arXiv Robotics — research abstracts
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- arXiv Robotics — research abstractsSignalASPIRE: Agentic /Skills Discovery for Robotics
ASPIRE is a continual learning system that autonomously writes and refines robot control programs in a code-as-policy paradigm. It combines a closed-loop execution engine, a growing skill library, and an evolutionary search process to improve performance in manipulation tasks and enable zero-shot generalization. ASPIRE outperforms prior methods by up to 77% on perturbed manipulation tasks and achieves 99% success on LIBERO-Pro tasks with Claude Opus 5.5.
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