Papers
11
Total Citations
98
H-Index
6
About
Chaoliang Zhong is a robotics researcher whose work spans embodied intelligence, multi-robot coordination, and autonomous navigation. His most cited paper, "Exploring Embodied Intelligence in Soft Robotics: A Review" (2024, 44 citations), examines how physical form and intelligent interaction converge in soft robotic systems, offering a comprehensive framework for understanding embodied AI. Zhong has made foundational contributions to formation control, proposing hybrid leader-follower strategies for multiple mobile robots navigating obstacle-filled environments (2010, 10 citations). He developed the regionalized spatial knowledge (RSK) model and the fine-to-coarse A* (FTC-A*) search algorithm for efficient robot wayfinding in regionalized environments (2016, 10 citations), and extended this work with a fast online global path planner based on regionalized roadmaps (2017, 8 citations). His research also includes receding horizon control for locating wireless sensor networks (2018, 7 citations) and PSO-based local path planning (2017, 6 citations). Zhong has explored continuous learning for robot navigation using self-organizing neural networks (2017, 4 citations) and improved OctoMap mapping through RGB-D SLAM (2018, 4 citations). His work demonstrates a sustained focus on bridging perception, planning, and control for intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Exploring Embodied Intelligence in Soft Robotics: A Review44 citations · 2024
- 2Hybrid formation control of multiple mobile robots with obstacle avoidance10 citations · 2010
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- 8An Improvement Algorithm for OctoMap Based on RGB-D SLAM4 citations · 2018
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- 10Multiple robot formation control strategy in corridor environments2 citations · 2014