Yusheng Ji
Papers
4
Total Citations
97
H-Index
2
About
Yusheng Ji’s research lies at the intersection of multi-robot systems, cooperative intelligence, and next-generation communication networks. His most cited work, “Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges” (2023, 93 citations), provides a comprehensive survey that has become a foundational reference for researchers tackling the scalability and robustness challenges of robot teams in real-world applications. Ji’s contributions extend to intelligent transportation, where he co-edited a special issue on 5G/6G precise positioning for connected automated vehicles (CAV) and cooperative intelligent transportation systems (C-ITS), highlighting his role in shaping the future of autonomous mobility. His recent work explores cutting-edge techniques like multi-agent deep reinforcement learning for traffic engineering in large-scale networks (2024) and federated reinforcement learning for mobile robot navigation (2025), demonstrating a commitment to decentralized, adaptive, and privacy-preserving solutions. With a publication trajectory that spans foundational surveys to frontier algorithms, Ji’s research is driving the convergence of robotics, AI, and telecommunications—making him a key figure for students and researchers interested in autonomous systems and cooperative intelligence.
Research Focus
Key Achievements
Top Papers
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