Baozhe Zhang
Papers
1
Total Citations
11
H-Index
1
About
Baozhe Zhang is a rising researcher in robotics and autonomous systems, with a primary focus on multi-robot coordination and UAV control. His most impactful contribution to date is the development of **CoNi-MPC (Cooperative Non-inertial Frame Based Model Predictive Control)**, a novel framework that reimagines how unmanned aerial vehicles interact within cooperative teams. Instead of relying on traditional world-frame control, Zhang’s work enables UAVs to operate directly within a non-inertial, target-centric frame, dramatically improving performance in dynamic scenarios such as leader-following, landing on moving platforms, and executing precise relative motion with a target. This innovation, published in 2023 and already garnering 11 citations, addresses a critical gap in multi-agent systems by enhancing real-time adaptability and reducing computational overhead. Zhang’s research bridges theoretical control theory and practical robotics, offering scalable solutions for swarms and human-robot collaboration. As an early-career scholar, his work signals a shift toward more intuitive and cooperative autonomous systems, making him a notable voice in the next generation of robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control11 citations · 2023