Yupeng Yang

University of North Carolina at Charlotte, Harbin University of Science and Technology

Papers

Total Citations

H-Index

About

Yupeng Yang is a robotics researcher whose work focuses on multi-robot coordination, visual servoing, and connectivity maintenance under uncertainty. His key contributions lie in developing control frameworks that enable robots to maintain line-of-sight (LOS) connectivity while executing complex, minimally constrained behaviors. In his 2023 paper on multi-robot coordination, Yang introduced a method for subgroups of robots to maintain global and local LOS connectivity without over-constraining their primary tasks—a critical advancement for decentralized swarm operations. His 2024 work extends this to handle Gaussian-distributed localization uncertainty, making these methods practical for real-world deployment. Yang has also tackled occlusion challenges in image-based visual servoing (IBVS), proposing probabilistic control barrier certificates to ensure robust performance even when visual features are obstructed. With his most-cited paper accumulating 15 citations and a growing body of work on pipeline inspection robots, Yang is establishing himself as a rising voice in safe, uncertainty-aware multi-robot systems. His research is particularly relevant for students and engineers working on field robotics, where maintaining reliable communication and vision under real-world constraints is essential.