Haochen Zhang
Papers
9
Total Citations
128
H-Index
6
About
Haochen Zhang is a robotics and control systems researcher whose work centers on teleoperation, adaptive control, haptic interfaces, and rehabilitation robotics. He is best known for his pioneering contributions to finite-time adaptive control schemes for bilateral teleoperation systems, addressing the persistent challenges of time-varying communication delays and uncertain robot dynamics. His 2020 paper on adaptive finite-time teleoperation control has garnered 55 citations, establishing him as a notable voice in this specialized field, while his earlier 2018 work on finite-time synchronization further demonstrated his commitment to achieving robust, fast-converging control solutions. Beyond teleoperation, Zhang has expanded his research into multimodal haptic sensing, developing an innovative system integrating ultrasonic arrays and cable-driven robotics for human-computer interaction. His work also addresses force sensor dynamic compensation, wheeled mobile robot trajectory tracking using model predictive control, and upper limb rehabilitation robotics — where he has applied iterative learning control and RBF neural network strategies to accommodate patient-specific disturbances. More recently, his variable admittance control framework for collaborative robots reflects a growing interest in human-robot safety. Collectively, Zhang's research bridges theoretical control design and practical robotic implementation, making meaningful contributions across industrial, medical, and assistive robotics domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9