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About

Jiayuan Shan is a robotics researcher whose work sits at the intersection of aerial robotics, multi-agent systems, and cooperative manipulation. Best known for pioneering contributions to quadrotor-manipulator systems, Shan has developed innovative control frameworks that enable multiple unmanned aerial vehicles equipped with robotic arms to perform complex collaborative tasks autonomously. His most influential work, "Aerial Cooperative Transporting and Assembling Control Using Multiple Quadrotor–Manipulator Systems" (2017, 23 citations), introduced a fully distributed control scheme allowing aerial robots to coordinate transportation and assembly operations without centralized oversight — a significant step toward practical autonomous construction and logistics applications. Complementing this, his research on collision-free formation control (2017, 8 citations) addressed the critical safety challenge of keeping multi-robot teams spatially organized while avoiding inter-agent collisions. Earlier foundational work on cooperative assembling using ground-based manipulators (2016) laid the theoretical groundwork for these aerial extensions. More recently, Shan has expanded into motion planning, with a 2025 contribution on curvature-constrained path optimization using Dubins-RRT* algorithms. Across his body of work, Shan has demonstrated a consistent focus on making multi-robot systems more capable, safe, and deployable in real-world scenarios.