Xiangjun Qian

Papers

Total Citations

H-Index

About

Xiangjun Qian’s research lies at the intersection of robotics, control theory, and optimization, with a focus on enabling safe, efficient multi-robot coordination. His most-cited work, “Time-optimal coordination of mobile robots along specified paths” (2016, 30 citations), tackles the fundamental challenge of synchronizing multiple robots moving along predetermined trajectories under kinodynamic constraints. By formulating the problem as a mixed-integer linear program (MILP) and leveraging time discretization, Qian introduced a rigorous, scalable framework that balances optimality with computational tractability. This contribution is particularly impactful for applications in warehouse automation, autonomous vehicle fleets, and industrial robotics, where minimizing mission time while avoiding collisions is critical. Beyond this flagship paper, Qian’s broader research explores motion planning, trajectory optimization, and real-time decision-making for robotic systems. His work is recognized for bridging theoretical optimization methods with practical robotic challenges, offering clear pathways from mathematical models to deployable solutions. For students and researchers, Qian’s research exemplifies how careful problem formulation and algorithmic innovation can address complex, real-world coordination problems in robotics.