Jiawang Wan

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Jiawang Wan is a researcher specializing in swarm robotics and multi-agent systems, with a particular focus on probabilistic tracking and filtering methods. His most cited work, "Toward Swarm Robots Tracking: A Constrained Gaussian Condensation Filter Method" (2021), introduces a novel approach to tracking multiple robots in dynamic environments by integrating Gaussian condensation filters with spatial constraints. This contribution addresses critical challenges in scalability and accuracy for swarm coordination, offering a foundation for real-time applications in autonomous surveillance and environmental monitoring. While his citation count is still emerging, Wan’s work demonstrates a strong technical grounding in Bayesian filtering and constrained optimization, positioning him as a promising voice in the field. His research bridges theoretical advances in probabilistic robotics with practical swarm deployment, making it relevant for students and researchers exploring decentralized control, sensor fusion, or multi-robot tracking. As his publication record grows, Wan’s contributions are likely to influence future developments in autonomous swarm intelligence.