LACE-CRAFT: Robot Co-Design with Actor Inheritance and Blackboard Collaboration
Overview
LACE-CRAFT improves robot co-design by combining morphology search with policy learning, achieving 6.4-91.9% higher scores than D2C in locomotion benchmarks through continued learning and policy adaptation across robot designs.
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- arXiv Robotics — research abstractsLACE-CRAFT: Robot Co-Design with Actor Inheritance and Blackboard Collaboration
LACE-CRAFT is a research paper proposing a method for robot co-design that combines morphology search with policy learning. The approach uses continued learning and policy adaptation to retain control experience across different robot designs. It introduces a framework for generating and refining robot hardware configurations through shared experimental records and behavioral replays, achieving performance improvements over existing methods in locomotion benchmarks.
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