Ruilong Gao

Papers

Total Citations

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About

Ruilong Gao is a leading researcher in agricultural robotics, with a focused expertise in developing intelligent systems for autonomous fruit harvesting, particularly apple picking in unstructured orchard environments. His work addresses critical challenges in robotic manipulation, including collision avoidance and optimal grasping in complex, natural settings. Gao’s most impactful contribution is a novel picking path planning algorithm based on an improved Particle Swarm Optimization (PSO), published in 2023 and cited 31 times, which enables robots to navigate around obstacles like branches during picking. He also pioneered a 3D vision-based method for calculating the optimal apple picking direction, a breakthrough that significantly improves picking efficiency and reduces fruit damage, garnering 19 citations. His 2024 research on system integration and control methods further advances the field by tackling grasping failures caused by interference from nearby branches or apples. With a total of over 55 citations across his key works, Gao’s research is instrumental in moving agricultural robotics from controlled settings to real-world, unstructured environments, making him a notable figure in precision agriculture and robotic automation.