Nanhe Chen

Huzhou University, State Key Laboratory of Industrial Control Technology

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About

Nanhe Chen is a rising robotics researcher whose work focuses on the frontiers of multi-robot coordination and motion planning. Chen’s primary research areas include swarm navigation, heterogeneous robot teams, and trajectory optimization for nonholonomic systems. In their highly cited 2024 work, "Cost-Effective Swarm Navigation System via Close Cooperation" (7 citations), Chen pioneered a framework that intelligently leverages the complementary strengths of UAVs and UGVs—using aerial agility for inspection and ground-based robustness for heavy-duty tasks—to achieve unprecedented global cost-efficiency in multi-robot operations. Building on this, Chen’s 2025 paper, "Universal Trajectory Optimization Framework for Differential Drive Robot Class" (4 citations), addresses a critical challenge in robotics: generating feasible, high-quality trajectories for differential drive platforms despite their nonholonomic constraints and lateral slip. This framework has broad implications, from household service robots to disaster response field robots. Though early in their career, Chen’s work has already garnered significant attention, demonstrating a clear talent for solving practical, real-world problems in swarm intelligence and autonomous navigation. Their contributions are shaping the next generation of cost-effective, cooperative robotic systems.