For robots to successfully locomote in different environments, it is better to equip them with multiple modes of locomotion. Multimodal locomotion for existing robotic systems is generally realized by integrating multiple mechanisms into a single robot. These robots are generally cumbersome or challenging to control and actuate. Recently, shape-morphing structures are utilized to enable reconfigurable and multifunctional robots. In this article, the authors present a novel origami-inspired modul
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For robots to successfully locomote in different environments, it is bett…
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Reinforcement learning has proven to aid locomotion control of highly articulated robotic systems. 🎥 Robotic Systems Lab: Legged Robotics at ETH Zürich | Interesting Engineering
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Reinforcement learning has proven to aid locomotion control of highl…
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ロボティクス＆自律システム開発の効率化
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大阪工業大学ロボット工学科 on Instagram: "【移動ロボット動き出 …
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