Papers
8
Total Citations
103
H-Index
4
About
Qiang Wang is a robotics and intelligent systems researcher whose work spans mobile robot path planning, human-robot interaction, and autonomous navigation. Over more than two decades of research, Wang has made consistent contributions to solving complex real-world challenges in robotics through computational intelligence and control systems design. His most influential work focuses on robot path planning, where his 2011 paper on an improved ant colony algorithm — addressing critical limitations such as slow convergence and excessive computation cycles — has accumulated 44 citations, establishing him as a notable voice in optimization-driven navigation strategies. Complementing this, his hierarchical fuzzy control framework for multi-robot coordination demonstrates a sophisticated understanding of autonomous, networked robotic systems. Wang's humanitarian instincts are evident in his 2017 design of a gesture-controlled robotic wheelchair for elderly and disabled users, leveraging Kinect camera technology for intuitive human-robot interaction, earning 19 citations. His more recent research reflects emerging trends, incorporating SLAM-based semantic mapping with YOLO detection for indoor navigation and investigating pipeline inspection robotics. Early work on a 6-DOF manipulator for biomedical applications signals a long-standing interest in medically relevant robotics. Wang's portfolio reflects a researcher dedicated to bridging intelligent algorithms with practical, human-centered engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1Path planning of mobile robot based on improved ant colony algorithm44 citations · 2011
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- 5Semantic Mapping Based on ORB-SLAM and YOLO in Indoor Scenes3 citations · 2023
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- 86-DOF Manipulator-based Novel Type of Biomedical Support System2 citations · 2005