Haipeng Liu

Beihang University, Intelligent Health (United Kingdom)

Papers

Total Citations

H-Index

About

Haipeng Liu is a researcher at the forefront of rehabilitation robotics and intelligent autonomous systems, with a focus on leveraging virtual reality (VR) and advanced optimization algorithms to solve real-world problems. His most-cited work, a 2019 paper on a VR training system for upper limb rehabilitation, addresses the growing crisis of post-stroke motor dysfunction. By integrating immersive VR with rehabilitation training, Liu provides a more engaging and effective therapeutic alternative to conventional methods, directly responding to the increasing number of stroke survivors requiring motor recovery. This work has garnered 14 citations, establishing his early impact in medical robotics. Liu’s more recent contributions push the boundaries of multi-robot coordination. In his 2024 paper, he introduces an Enhanced Particle Swarm Optimisation (EPSO) algorithm that, combined with cubic Bézier curve smoothing, dramatically improves path planning for multi-robot systems. By overcoming traditional PSO’s tendency to produce jagged, inefficient routes, his method enables smoother, more energy-efficient trajectories—a critical advance for applications in warehouse logistics, search-and-rescue, and automated manufacturing. With 13 citations in under a year, this work signals his growing influence in swarm robotics. Liu’s research uniquely bridges healthcare and automation, demonstrating a versatile ability to apply computational intelligence across domains, from patient rehabilitation to industrial robotics.