Wang Jiang

National University of Defense Technology, Tianjin University

Papers

Total Citations

H-Index

About

Wang Jiang is a pioneering researcher in robotics and neuromorphic engineering, whose work bridges the gap between biological inspiration and practical machine design. His most influential contribution is the development of the **Time-Pose control method** for quadruped robots, introduced in his highly cited 2013 paper on trotting gaits. This approach, which separates gait control from pose control using virtual leg principles, enables robots to traverse flat ground and slopes with remarkable adaptability and real-time efficiency—a breakthrough that has earned 14 citations and remains foundational for researchers seeking simplified, robust locomotion strategies. More recently, Jiang has ventured into **brain-inspired computing**, focusing on the hardware implementation of spiking neural networks (SNNs). His 2021 work on reconstructing visual SNNs using the **BiCoSS** digital neuromorphic platform addresses the limitations of von Neumann architectures, offering a pathway toward more energy-efficient, biologically plausible artificial intelligence. This research, though nascent with 3 citations, signals a bold interdisciplinary shift from mechanical systems to neural computation. Jiang’s career exemplifies a rare synthesis of practical robotics and cutting-edge neuromorphic hardware, making him a compelling figure for students interested in how biological principles can transform both robot locomotion and next-generation computing.