Max Robotics — Global Service Robot Directory + US Certification

About

Dongwei He is a leading researcher in mobile robotics, specializing in path planning and autonomous navigation. His work focuses on developing advanced algorithms that enable robots to navigate complex environments efficiently and safely. He is best known for his innovative fusion approaches, combining global path planning methods with local dynamic obstacle avoidance techniques. His most influential paper, "Global Dynamic Path Planning Fusion Algorithm Combining Jump-A* Algorithm and Dynamic Window Approach" (2021), has garnered 80 citations and introduces a method that optimizes path smoothness and global optimality. He further advanced the field with "Dynamic Path Planning of Mobile Robot Based on Improved Sparrow Search Algorithm" (2023, 41 citations), which addresses critical limitations in traditional swarm intelligence algorithms, such as high time consumption and inability to avoid dynamic obstacles. His recent work, "Path Planning of Mobile Robots with an Improved Grey Wolf Optimizer and Dynamic Window Approach" (2025), tackles issues of exploration capability and local optima entrapment. He also contributed to practical applications with "Design and Realization of Intelligent Voice-Control Car Based on Raspberry Pi" (2018). With over 127 total citations, He’s research is pivotal for developing robust, real-time navigation systems for autonomous mobile robots.