EmbodiedEvo tops RoboDojo as agents inherit reusable skills and lessons
Aiden_Tech_Ai · x · 2026-10-16
- EinsiaAI's EmbodiedEvo brings coding-agent-style learning into the physical world: agents practice in a Playground, distill experience into reusable Skills & Lessons, and successor agents inherit them with no model-weight updates, zero-shotting unseen layouts.
- Results: 45.08 average score and 38.95% success rate — #1 on the RoboDojo leaderboard.
- Project page, paper, and GitHub are public; amplifiers see inheriting learned experience across agent generations as promising for robot generalization.
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