ETH Zurich’s Robotic Systems Lab has recently taken its revolutionary legged-wheeled hybrid road out and about to test its mobility. Tested on the streets of Zurich and Seville, the robot could navigate a wide variety of terrains while also autonomously avoiding collisions with obstacles and pedestrians.. This combination, the researchers behind have found, is an excellent solution to challenges faced by either pure-legged or pure-wheeled robots.
. “This is an outcome of more than five years of research in legged robotics, autonomous navigation, and robot perception,” he added.created by team CERBERUS. This includes researchers at indoor drone company Flyability. It won the DARPA Subterranean Challenge in 2021. He further added, “Such approaches work fine for simple wheeled robots or slow-walking robots, but in the case of fast-moving robots like ours they cannot provide fast enough navigation plans. For robots moving at 2 m/s, 0.5 seconds of delay can result in a 1 m error, which can lead to a catastrophic collision.”
“Another big advantage of our approach is that our neural net controller fully understands the nonlinear and complex dynamics of legged robots,” Lee said. “As it understands how the robot behaves on various terrains at different speeds, it can navigate the robot very efficiently.”
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