Puxuan Ning
Papers
1
Total Citations
1
H-Index
1
About
Puxuan Ning is a robotics researcher whose work focuses on enhancing the safety and efficiency of industrial automation systems, particularly Delta robots. Their primary research areas include collision detection, robot dynamics, and intelligent control strategies. Ning’s most notable contribution is the development of a generalized momentum extended state observer method for estimating external torque, a breakthrough that enables real-time, high-precision collision detection without the need for additional sensors. This work, published in 2024, has already garnered attention in the field, demonstrating its practical relevance for improving human-robot interaction safety. By designing robust response strategies that allow robots to react safely upon contact, Ning addresses a critical challenge in modern manufacturing environments where speed and safety must coexist. Their research not only advances the theoretical understanding of robot dynamics but also offers tangible solutions for industry. With a growing citation impact and a clear focus on applied robotics, Puxuan Ning is emerging as a key contributor to the development of safer, more responsive automation technologies.
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Top Papers
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