Swift and Secure: CMU Researchers Develop Collision-Free, High-Speed Robots
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Researchers at Carnegie Mellon University's Robotics Institute have unveiled a new learning-based control framework named Agile But Safe (ABS). This innovative framework, developed by a team including Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, and Guanya Shi, allows quadrupedal robots to navigate both indoor and outdoor environments without the risk of collisions. The introduction of ABS aims to enhance the safety and efficiency of robotic movement in confined spaces, addressing a critical challenge in robotics. By implementing this framework, the researchers have demonstrated that robots can achieve high-speed mobility while maintaining secure and obstacle-free navigation.
Original report
Swift and Secure: CMU Researchers Develop Collision-Free, High-Speed Robots
ri.cmu.edu · Mallory LindahlThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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