Papers
2
Total Citations
21
H-Index
2
About
Jinhao Liang is a pioneering researcher at the intersection of robotics, neuromorphic computing, and human–machine interaction. His work bridges two transformative domains: enabling intuitive physical collaboration between humans and autonomous systems, and developing brain-inspired hardware for intelligent robotic control. In his highly cited 2016 paper, Liang introduced a novel system for action synchronization between a human arm and a multi-rotor UAV’s robotic arm, using dual IMU motion sensors to achieve seamless remote operation—a foundational contribution to teleoperation and aerial manipulation. More recently, his 2025 study on reward-modulated spike-timing-dependent plasticity in van der Waals ferroelectric memtransistors marks a breakthrough in neuromorphic engineering. By demonstrating a hardware platform that mimics biological learning rules, Liang enabled robots to perform real-time recognition and tracking tasks with unprecedented energy efficiency. With over 20 citations across his key works, Liang’s research is shaping the future of autonomous systems that learn and adapt like living organisms, promising safer, more intuitive human–robot collaboration in dynamic environments.
Research Focus
Key Achievements
Top Papers
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