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The book explores the contrast between the autonomy and efficiency of biological organisms, particularly animals, and the limitations of current robotic systems. Despite advancements in artificial intelligence and robotics, living creatures like cats demonstrate superior agility and adaptability in unpredictable environments. This disparity highlights the need for engineers to study biological mechanisms to enhance the design of robots, aiming to replicate the robustness and autonomy found in nature. The text emphasizes the potential for learning from biology to improve technological innovations.
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From Metal to Meat: Adapting Control Theory for the Challenges of Biological Systems, Chris
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- Année de publication
- 2024
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