Humanoide Roboter, die sich „auffangen“, statt zu fallen: Was ein neuer Laufalgorithmus verändert

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While the statement, „Humanoid robots are coming,“ might cause anxiety for some, for one Georgia Tech research team, working with humanlike robots couldn’t be more exciting. The researchers have developed a new „thinking“ technology for two-legged robots, increasing their balance and agility

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The researchers, led by Ye Zhao, director of the Georgia Tech Laboratory for Intelligent Decision and Autonomous Robots (LIDAR), and Zhaoyuan Gu, a robotics Ph.D. student, wanted to develop a real-time planning and control framework that guarantees a robot’s safety and recovery when traversing difficult terrain. The autonomous nature of this framework means the robots can make their own decisions without direct assistance from a human. For example, if an unexpected obstacle appears in its path, a robot equipped with this new framework could catch itself instead of falling.