Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots This autonomous navigation system, developed for Robotic Systems Lab's wheeled-legged quadrupeds, is designed for efficient navigation in large urban environments. Using neural network policies, the unified control system supports smooth gait transitions, intelligent navigation planning, and responsive obstacle avoidance in urban settings. Video source: Robotic Systems Lab: Legged Robotics at ETH Zürich #robotics #tec
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Learning Robust Autonomous Navigation and Locomotion for W…
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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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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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Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion Legged robots navigating cluttered environments must be jointly agile for efficient task execution and safe to avoid collisions with obstacles or humans. Existing studies either develop conservative controllers (
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A four-legged robot can handle real-world obstacles that require scrambling up and down or leaping sizeable gaps. AI training lets it adapt to new terrain it hasn't seen before. | New Scientist
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Watch this humanoid robot run and jump through an obstacle course
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factominds on Instagram: "Imagine this… a small robot running faster than a human across grass and uneven ground. At first glance, it looks like a toy—but in reality, it’s the result of serious robotics research conducted in the USA. This robot was developed by the Florida Institute for Human and Machine Cognition (IHMC) to understand how robots can move quickly across off-road and challenging terrain. Instead of using wheels, the robot is designed with spring-loaded legs, similar to how insects
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