Papers
5
Total Citations
69
H-Index
3
About
Dr. Kang Zhao is a leading researcher in intelligent robotics, with a focus on autonomous mobile manipulation and industrial automation. His work centers on developing integrated systems that enable robots to perceive, navigate, and interact with complex, unstructured environments. Dr. Zhao’s major contributions include the creation of a novel YOLO-GGCNN grasping framework, which combines real-time object detection with deep learning-based grasp planning to allow mobile robots to reliably pick objects in unknown settings—a paper that has garnered 52 citations. He also designed a complete mobile robotic arm system that autonomously navigates indoor spaces and performs visual recognition for grasping, addressing key challenges in service robotics. Further impact is seen in his work on efficient multi-robot scheduling and navigation for warehouses, and on stability control for transport robots using iterative learning control to mitigate disturbances from manipulator movement. With over 69 total citations, Dr. Zhao’s research is pivotal for advancing practical, autonomous robots in logistics, manufacturing, and service industries.
Research Focus
Key Achievements
Top Papers
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- 4Stability Control of Transport Robot Based on Iterative Learning Control3 citations · 2022
- 5Robot tracking system research basing on optical sensors2 citations · 2019