Small Scale Robot
Small-scale robotics focuses on designing and controlling robots with significantly reduced size and weight, enabling access to confined spaces and enhancing dexterity for tasks like minimally invasive surgery and micro-manipulation. Current research emphasizes developing robust control algorithms, including those based on reinforcement learning and optimization techniques, to address challenges in locomotion, object manipulation, and swarm coordination in these miniature systems. These advancements are crucial for applications ranging from targeted drug delivery and environmental monitoring to collaborative manufacturing and exploration of challenging terrains.
Papers
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