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tinyDSM: A Framework for Skill Modeling and Development for Resource-Constrained Millirobots
In this study, we investigate developmental mechanisms that enable small, resource-constrained systems such as cm-sized millirobots to autonomously explore, learn, and adapt their capabilities throughout their lifespan. Reinforcement learning algorithms guide the agent's skill acquisition and adapta
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