Papers
3
Total Citations
46
H-Index
3
About
Bingliang Hu is a pioneering researcher at the intersection of swarm robotics, computer vision, and artificial intelligence. His work focuses on enabling autonomous collective behavior in multi-robot systems, particularly through bio-inspired control mechanisms and machine learning. Hu’s most cited paper, “Automated pattern generation for swarm robots using constrained multi-objective genetic programming” (2023, 20 citations), introduces a novel evolutionary approach to automatically design complex swarm formations, significantly reducing manual programming effort. His second major contribution, “VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence” (2023, 17 citations), presents a practical vision-based gene regulatory network that allows aerial robots to perform dynamic encirclement tasks using only onboard visual perception—a breakthrough for real-world drone swarms operating without GPS or centralized control. Hu also advances human-robot interaction through his work on gaze estimation, as seen in “Style transformed synthetic images for real world gaze estimation” (2022, 9 citations), where he combines style transfer and residual neural networks to improve gaze tracking accuracy across diverse users. With over 46 citations across his top papers, Hu’s research is shaping the future of autonomous swarms, offering scalable, vision-driven solutions for surveillance, search-and-rescue, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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