Hanke Bao
Papers
1
Total Citations
2
H-Index
1
About
Hanke Bao is a researcher focused on intelligent robotics and industrial automation, with a particular emphasis on motion planning and control optimization. In their most-cited work, "Intelligent route planning model of industrial robot based on inertia moment parameter optimization" (2021), Bao proposed a novel method to enhance the intelligent planning of action routes for monocular vision dynamic underactuated industrial robots. By establishing an optimized model based on inertia moment parameters, this contribution directly addresses challenges in robotic path efficiency and stability under dynamic visual constraints. While this paper has garnered 2 citations, it represents a foundational step in improving the adaptability of underactuated systems—a critical area for cost-effective and flexible manufacturing. Bao’s research bridges theoretical optimization with practical robotic applications, offering insights that could reduce energy consumption and increase precision in industrial settings. Their work is particularly relevant for students and engineers exploring sensor-integrated robotic control, as it demonstrates how parameter tuning can enhance real-time decision-making in constrained environments.
Research Focus
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Top Papers
- 1