Manzhi Qi
Papers
1
Total Citations
7
H-Index
1
About
Manzhi Qi is a leading researcher in the field of hydraulic robotic systems, with a primary focus on master-slave operation control and adaptive mapping for manipulators operating in unstructured environments. His most-cited work, "Transformed Workspace Adaptive Mapping Based Master-Slave Operation Control for Hydraulic Manipulator" (2025, 7 citations), addresses a critical challenge in robotics: enabling precise, intuitive control when the master robot and hydraulic manipulator have fundamentally different mechanical structures. Qi’s key contribution lies in developing a transformed workspace adaptive mapping technique that bridges this kinematic disparity, allowing operators to achieve stable and accurate control without requiring extensive retraining. This innovation is particularly impactful for applications in construction, disaster response, and heavy industry, where autonomous operation remains difficult. By improving the dexterity and safety of master-slave systems, Qi’s work is paving the way for more practical, human-in-the-loop robotic solutions. His research stands out for its direct relevance to real-world deployment, offering a scalable approach to enhance the performance of hydraulic manipulators in challenging, unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1