Longlong Feng
Papers
2
Total Citations
5
H-Index
2
About
Longlong Feng is a researcher whose work bridges robotics, bio-inspired vision, and agricultural engineering. Feng’s key research areas include environment perception for wheeled mobile robots (WMRs) and nondestructive quality assessment of fresh produce. One of Feng’s major contributions is the development of a chameleon-inspired active vision system for WMRs, which mimics the negative-correlation motion of chameleon eyes to enhance spatial perception and adaptability in complex environments. This innovative approach, published in 2023, has already garnered 3 citations and represents a novel fusion of biological principles with robotic sensing. In a separate line of inquiry, Feng addresses post-harvest food loss by investigating the effect of mechanical damage on the quality and electrical parameters of minikiwi fruits. This 2025 study, with 2 citations, proposes a nondestructive detection method using flexible electrodes to acquire electrical signals from damaged fruit, offering a practical tool for quality control in the supply chain. Feng’s work demonstrates a versatile application of sensing technologies—from biomimetic robotics to agricultural sustainability—highlighting a commitment to solving real-world problems through interdisciplinary innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2