Papers
11
Total Citations
95
H-Index
4
About
Hao Gu’s research focuses on advancing robotic systems through innovative mechanical design, calibration, and motion planning, with a particular emphasis on cost-effective and user-friendly solutions for industrial and humanoid robots. His most impactful work, “Easy industrial robot cell coordinates calibration with touch panel” (44 citations), introduces a practical method for improving robot absolute accuracy using low-cost touch panels—a significant contribution to small-part assembly where precision is critical. Gu is also known for pioneering the development of 1-degree-of-freedom (DOF) anthropomorphic clutched arms for humanoid robots, demonstrating through simulation and experimental characterization that complex spatial motions can be achieved with a single actuator. His design of a tripod walking robot using Chebyshev–Pantograph leg mechanisms further showcases his expertise in linkage-based locomotion. Across his publications, Gu systematically addresses challenges in robotized assembly, error chain analysis, and trajectory planning, with several papers accumulating over 10 citations each. His work bridges the gap between theoretical design and practical industrial application, offering scalable solutions for automation.
Research Focus
Key Achievements
Top Papers
- 1Easy industrial robot cell coordinates calibration with touch panel44 citations · 2017
- 2Design and operation of a tripod walking robot via dynamics simulation11 citations · 2010
- 3Simulation of combined motions for a 1-DOF clutched robotic arm11 citations · 2009
- 4
- 5Accuracy analysis for robotized assembly system4 citations · 2017
- 6An Automatic Industrial Robot Cell Calibration Method4 citations · 2014
- 7Trajectory planning for a 1-DOF clutched robotic arm3 citations · 2010
- 8An Optimum Path Planning for LARM Clutched Arm3 citations · 2010
- 9
- 10Improving the local absolute accuracy of robot with touch panel2 citations · 2017