Papers
9
Total Citations
84
H-Index
5
About
Zhengguang Ma’s research focuses on intelligent mobile robotics, with key contributions in path planning, multi-robot coordination, and sensor fusion for complex and hazardous environments. Ma is best known for developing a fusion approach that combines an improved A* algorithm with an adaptive Dynamic Window Approach (DWA), enabling mobile robots to navigate dynamically and avoid obstacles in real time—a method that has garnered 30 citations. Their work on a ROS-based multi-robot system simulator (28 citations) provides a seamless bridge between simulation and hardware experimentation, advancing the study of coordinated swarm behavior. Ma has also pioneered the integration of micro-ROS with resource-constrained microcontrollers for 2D mapping, and designed specialized robots for radioactive source detection and disposal, incorporating Lidar-depth camera fusion and neural network PID control to enhance precision and safety in nuclear environments. With notable achievements in both theoretical algorithm design and practical robotic systems, Ma’s research has significant implications for autonomous navigation, hazardous material handling, and multi-agent systems, making their work essential reading for students and researchers in robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2ROS-Based Multi-Robot System Simulator28 citations · 2019
- 32D Mapping of Mobile Robot Based on micro-ROS6 citations · 2022
- 4Design of robot system for radioactive source detection based on ROS5 citations · 2020
- 5A Mobile Robot Mapping Method Integrating Lidar and Depth Camera5 citations · 2022
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