Jinnian Pu
Papers
2
Total Citations
11
H-Index
2
About
Jinnian Pu is a robotics researcher whose work focuses on mobile manipulation and autonomous systems for precision agriculture and controlled environments. His key contributions lie in developing integrated frameworks that combine perception, planning, and control for flexible task execution. In his highly cited 2023 paper, Pu introduced a general mobile manipulator automation framework designed to enable robots to adapt to varied tasks in structured settings, achieving 7 citations for its practical approach to bridging manipulation and mobility. He also advanced agricultural robotics with a multi-modal garden dataset and a hybrid 3D dense reconstruction framework that leverages panoramic stereo images, enabling a trimming robot to perceive and interact with complex outdoor vegetation—a work that has garnered 4 citations for its novel data and reconstruction methodology. Pu’s research demonstrates a clear impact on the growing field of service and agricultural robotics, offering scalable solutions for real-world automation challenges. His work is particularly notable for its emphasis on data-driven perception and modular system design, making it valuable for students and researchers interested in the intersection of robotics, computer vision, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 2