Zhihe Fu
Papers
1
Total Citations
3
H-Index
1
About
Zhihe Fu is a researcher in robotics and automation, with a primary focus on visual servoing and mobile manipulation for service-oriented applications. His key research areas include nonholonomic robotic systems, visual perception for grasping, and human-robot interaction in domestic environments. Fu’s most notable contribution is his work on visual servo grasping of household objects using nonholonomic mobile manipulators, where he introduced an innovative artificial object marker based on QR codes to facilitate reliable object recognition and manipulation. This approach addresses critical challenges in unstructured home settings, enabling robots to autonomously identify and grasp everyday items. While his 2014 paper has garnered 3 citations, its conceptual foundation in combining QR code-based visual markers with nonholonomic control has informed subsequent studies in assistive robotics and smart home automation. Fu’s research bridges the gap between theoretical control systems and practical deployment, offering a scalable solution for domestic robots. His work is particularly relevant for researchers exploring low-cost, vision-driven grasping strategies in constrained environments, and it underscores the potential of integrating simple visual cues to enhance robotic autonomy in real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1