Max Robotics — Global Service Robot Directory + US Certification

About

Yangfei Lin is a rising researcher at the forefront of multi-robot systems, specializing in cooperative object transport, autonomous navigation, and intelligent swarm coordination. Their most impactful work, the 2023 survey "Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges," has garnered 93 citations, establishing it as a foundational reference for researchers seeking to understand the current landscape and open challenges in this domain. Lin’s contributions extend beyond surveys into practical system integration, as demonstrated by their work on an "Intelligent multi-robot collaborative transport system" (2024), which uniquely bridges communication, task allocation, and navigation to build fully autonomous transport platforms. To accelerate development while minimizing real-world risks, Lin also designed a dedicated "Multi-robot Cooperative Transport Simulation System" (2023). Most recently, they have pushed into adaptive navigation with a "Federated Reinforcement Learning Framework for Mobile Robot Navigation Using ROS and Gazebo" (2025), addressing the critical challenge of training robust RL models without pre-mapping. By combining theoretical insights with hands-on simulation and federated learning, Lin is shaping the next generation of scalable, resilient multi-robot teams for real-world logistics and industrial applications.