Papers
4
Total Citations
44
H-Index
3
About
Haifeng Zeng is a leading researcher in agricultural robotics and multi-robot coordination, with a focus on intelligent path planning and trajectory optimization. His most impactful work addresses the challenge of automated saffron harvesting, where he developed an improved ant colony algorithm for three-dimensional path planning of a dual-roller picking robot. This work, published in 2022 and cited 19 times, tackles the complex problem of navigating uneven terrain to efficiently harvest safflower bulbs. Zeng’s contributions extend to multi-robot systems, where he has pioneered cross-area scheduling and conflict-free path planning for robots operating in non-flat environments (2025, 14 citations). He has also advanced industrial automation through time-optimal trajectory planning using a hybrid particle swarm optimization algorithm (2021, 9 citations), and more recently, he addressed the challenging leader-follower formation tracking control of mobile robots using a visual observer-based approach in position-denied scenarios (2025). By integrating bio-inspired algorithms with real-world constraints, Zeng’s work is driving the next generation of autonomous agricultural and industrial robots, making him a key figure in the field of intelligent robotics.
Research Focus
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