Hongwei Mo
Papers
23
Total Citations
489
H-Index
10
About
Hongwei Mo is a leading researcher in bio-inspired robotics and autonomous navigation, with a focus on integrating principles from nature—such as reinforcement learning, bacterial chemotaxis, and biogeography—into intelligent robotic systems. His major contributions span robot path planning, swarm coordination, and safety-aware motion control, where he has developed novel algorithms that enable robots to navigate unknown environments with human-like perception and decision-making. His most cited work, a comprehensive review on reinforcement learning for robotics (140 citations), highlights his role in advancing the field's theoretical foundations. Mo's practical innovations include a biogeography particle swarm optimization for path planning (133 citations) and behavior-based fuzzy control for mobile robot navigation (43 citations), both of which address real-world challenges in uncertainty and collision avoidance. He has also pioneered brain-inspired goal-oriented navigation systems and bacterial chemotaxis-inspired coordination strategies for swarm robots, demonstrating versatility across single-robot and multi-robot domains. With over 400 total citations across his top papers, Mo's research has significantly influenced autonomous robotics, offering scalable, adaptive solutions that bridge biological intelligence and engineering applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Research of biogeography particle swarm optimization for robot path planning133 citations · 2014
- 3Behavior-Based Fuzzy Control for Mobile Robot Navigation43 citations · 2013
- 4
- 5
- 6A Brain-Inspired Goal-Oriented Robot Navigation System12 citations · 2019
- 7
- 8On control law partitioning for nonlinear control of a quadrotor UAV11 citations · 2018
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- 10