Qiulong Zhang
Papers
2
Total Citations
71
H-Index
2
About
Qiulong Zhang is a leading researcher in collaborative robotics, with a primary focus on enhancing safety and human-robot interaction. His work centers on developing advanced control algorithms that allow robots to operate more intuitively and safely alongside humans. A major contribution is his seminal 2018 paper on a novel collision detection algorithm for collaborative robots, which has garnered 47 citations. This work is notable for eliminating the need for external sensors by using a modified first-order momentum deviation observer that accounts for joint friction, a critical factor in real-world applications. Zhang further advanced the field with his 2019 research on forcefree control, cited 24 times, which proposes a dynamic model with full torque compensation to improve the compliance and direct teachability of cooperative robots. By focusing on dynamic parameter identification, his work directly addresses the practical challenges of making robots more responsive and easier to program. Zhang’s research is foundational for the next generation of safe, flexible, and intuitive robotic systems, making him a key figure in the evolution of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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