Xuefeng Chang
Papers
6
Total Citations
29
H-Index
3
About
Xuefeng Chang is a robotics researcher whose work bridges the critical gap between theoretical multi-agent control and practical hardware design. His primary research areas include swarm robotics, distributed control systems, and mechanical design for robotic platforms. Chang’s most influential contribution is his 2017 work on distributed control for flocking and group maneuvering of nonholonomic agents, which addresses the challenging problem of coordinating agents with constrained kinematics, such as fixed-wing UAVs. This paper, with 10 citations, provides a foundational framework for enabling cohesive group motion in real-world aerial swarms. In parallel, Chang has made significant contributions to robotic hardware, notably through his 2023 study on a novel abnormal cycloidal gear reducer, which tackles the assembly and over-positioning issues plaguing traditional RV reducers used in robotic arms. This work, already garnering 9 citations, demonstrates his commitment to improving precision and manufacturability. Additionally, Chang has developed a structure-aware RRT-based path planning algorithm (SARRT) and created the GSDF framework for swarm robotics development, alongside a cost-efficient UAV swarm platform. His research uniquely combines algorithmic innovation with practical platform design, advancing both the intelligence and physical capabilities of multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3SARRT: A structure-aware RRT-based approach for 2D path planning4 citations · 2015
- 4
- 5GSDF: A Generic Development Framework for Swarm Robotics2 citations · 2017
- 6A Cost-Efficient Platform Design for Distributed UAV Swarm Research2 citations · 2021