Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Hanning Chen is a leading researcher in robotics and computational intelligence, with a primary focus on mobile robot path planning and multi-robot scheduling optimization. His most impactful contribution is the development of an adaptive bacterial foraging algorithm for robot path planning, a bio-inspired approach that has garnered 60 citations and established a foundation for efficient, collision-free navigation in complex environments. Building on this, Dr. Chen has advanced warehouse logistics through a novel maximin-based multi-objective evolutionary algorithm, which uses a one-by-one update scheme to optimize multi-robot scheduling under the pressures of E-commerce—addressing the challenge of processing increasing order batches with shorter cycles. His work also extends to hardware-software integration, exemplified by the development of a RISC-V FPGA platform for ROS-based robotics applications, which has earned 17 citations for its open-source, scalable architecture. With over 100 total citations, Dr. Chen’s research bridges theoretical algorithms and practical implementations, notably improving autonomous navigation and task coordination. His recent exploration of an improved ant colony Q-learning algorithm for path planning (2025) underscores his ongoing commitment to advancing intelligent robotics, making his work essential for students and researchers in autonomous systems and optimization.