Papers
17
Total Citations
280
H-Index
8
About
Heng Zhang is a prominent robotics researcher whose work spans mobile robot navigation, path planning, simultaneous localization and mapping (SLAM), and intelligent optimization algorithms. Over two decades of contributions, Zhang has consistently advanced the field through innovative algorithmic solutions to complex robotic challenges. His early influential work applied intensified ant colony optimization and genetic algorithms to mobile robot path planning, addressing difficult constraint conditions and irregular obstacle environments — research that has collectively garnered over 80 citations. Zhang's trajectory optimization work for robot manipulators further demonstrated his expertise in evolutionary computation applied to robotics. Zhang's later research shifted toward perception and spatial intelligence, producing notable contributions in RGB-D vision systems, including the BRISK_D feature detector combining FAST and BRISK techniques for depth-aware environments (46 citations), and cloud-robotics-integrated SLAM frameworks. His 2022 digital twin work for large-span curved-arm gantry robots (68 citations) reflects a timely pivot toward Industry 4.0 applications. With a citation profile exceeding 250 across diverse robotics subfields, Zhang's career illustrates a researcher who bridges classical optimization theory with cutting-edge robotic perception, making his work valuable reading for students exploring autonomous navigation, computer vision, and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A digital twin for 3D path planning of large-span curved-arm gantry robot68 citations · 2022
- 3A FAST-BRISK Feature Detector with Depth Information46 citations · 2018
- 4A Novel RGB-D SLAM Algorithm Based on Cloud Robotics15 citations · 2019
- 5
- 6A Fast Map Merging Algorithm in the Field of Multirobot SLAM10 citations · 2013
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- 9
- 10Human Following of Mobile Robot With a Low-cost Laser Scanner7 citations · 2019