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Delves into self-reconfigurable modular robots, discussing advantages, design concepts, planning strategies, and challenges in motion planning and search algorithms.
Explores the boundary between hard coding and learning in robotics, emphasizing the importance of co-designing robotic hands and manipulation approaches to exploit environmental constraints.
Explores provably beneficial AI, aligning AI goals with human preferences and behaviors, illustrating complexities through examples like image classification and fetching coffee.
