Papers
10
Total Citations
44
H-Index
4
About
Weidong Hao’s research lies at the intersection of robotics, computer vision, and intelligent manufacturing, with a focus on enabling robots to perceive, plan, and act in complex, real-world environments. His major contributions span kinematic modeling, where he developed methods using screw theory for 6-DOF robots (17 citations), and machine vision, notably a stereo vision system that allows robots to grasp occluded objects (5 citations). Hao has also pioneered automated repair systems, including an integrated laser cladding platform for industrial drill bits (3 citations) and a method for generating smooth cladding paths on irregular wear surfaces (4 citations). His work on dual-robot calibration (4 citations) and SLAM mapping that fuses lidar and depth camera data (3 citations) further demonstrates his commitment to practical, high-precision automation. With over a decade of research, from early color-based target recognition (2008) to recent integrated systems (2023), Hao’s work has directly impacted industrial applications, particularly in tool repair and automated manufacturing. His citation record, while modest, reflects a focused, application-driven career that bridges theory and practice, making him a valuable contributor to the field of industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Research on Kinematic Modeling and Analysis Methods of UR Robot17 citations · 2018
- 2Occluded object grasping based on robot stereo vision5 citations · 2012
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- 6SLAM Mapping of Information Fusion between Lidar and Depth Camera3 citations · 2022
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- 8Engineering Applications based on Industrial Robots and Machine Vision2 citations · 2022
- 9Research in Target Recognition Arithmetic of Robot Based on Color2 citations · 2008
- 10A Path Planning Method Based on Robot Automatic Grinding of Drills2 citations · 2021