Papers
5
Total Citations
66
H-Index
3
About
Tianhong Luo is a pioneering researcher in agricultural robotics and human-robot interaction, whose work bridges the gap between autonomous harvesting systems and assistive technologies. His key research areas include fruit and vegetable localization for harvesting robots, virtual simulation of picking systems, and biologically inspired control methods for robotic locomotion. Luo’s most impactful contribution is his window zooming–based localization algorithm (2019, 45 citations), which addresses critical challenges in fruit and vegetable harvesting—such as varying illumination, random occlusion, and surface texture variability—significantly advancing the precision and reliability of harvesting robots. He also developed a human-robot interaction coordination control method for assistive walking devices (2018, 7 citations), introducing a central pattern generator (CPG)-based system that enhances stability and flexibility in rehabilitation robotics. His work on CPG-based coupling control for multi-joint robots (2019) and pneumatic flexible joints (2024) further demonstrates his commitment to creating adaptive, biologically inspired robotic systems. Luo’s research has direct implications for improving agricultural efficiency and assistive mobility, making him a notable figure in both fields.
Research Focus
Key Achievements
Top Papers
- 1
- 2Virtual Simulation of Fruit Picking Robot Based on Unity3D9 citations · 2020
- 3
- 4
- 5Research on Key Technologies of Pneumatic Flexible Joints for Robots2 citations · 2024