Max Robotics — Global Service Robot Directory + US Certification

About

Longji Yin is a pioneering researcher in autonomous aerial robotics, specializing in trajectory planning and multi-robot coordination for micro air vehicles (MAVs). His major contributions lie in enabling safe, high-speed navigation and scalable formation flight in dense, unknown environments—a critical leap for applications like search-and-rescue and disaster relief. His most influential work, "Robust and Efficient Trajectory Planning for Formation Flight in Dense Environments" (2023), has garnered 59 citations, establishing a complete system for fully autonomous large-scale swarm flight that overcomes prior limitations in cluttered spaces. Yin further advanced the field with "Safety-assured high-speed navigation for MAVs" (2025, 27 citations), addressing the dual challenge of velocity and safety in unknown settings. His additional research on bandwidth-efficient occupancy grid map synchronization (2024) tackles real-world communication constraints in multi-robot systems, enhancing practical swarm deployment. With a total of 89 citations across his top papers, Yin’s work bridges theoretical robustness and real-time efficiency, positioning him as a key innovator in aerial robotics. His achievements promise to transform autonomous swarm operations, making them more reliable and adaptable for critical missions.