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papersSEP 10 04:00 UTC

tinyDSM Framework Enables Skill Learning in Resource-Constrained Millirobots

Researchers introduce tinyDSM, a framework that lets centimeter-scale millirobots with very limited onboard resources autonomously explore and build skills over their operating lifetime. Drawing on developmental mechanisms and reinforcement learning, the approach targets continuous adaptation on tiny hardware.

robotics/reinforcement-learning/edge-ai