Jianye Xu
Papers
1
Total Citations
14
H-Index
1
About
Jianye Xu is a leading researcher at the intersection of connected and automated vehicles (CAVs) and robot swarms (RSs), with a focus on bridging the gap between theoretical algorithms and physical-world deployment. His most cited work, a comprehensive 2024 survey on small-scale testbeds for CAVs and robot swarms, serves as an essential guide for researchers building new experimental platforms. With 14 citations already, this survey systematically categorizes existing testbeds, identifies critical design trade-offs, and provides a practical roadmap for creating scalable, cost-effective environments for validation. Xu’s contributions are pivotal in addressing the core challenge of testing multi-agent systems—where safety, efficiency, and sustainability must be proven before real-world adoption. His work empowers the research community to move beyond simulations, enabling rigorous, repeatable experiments that accelerate the transition of autonomous technologies from lab to road and factory floor. By demystifying testbed design, Xu is shaping how next-generation CAV and swarm systems are developed, tested, and ultimately trusted.
Research Focus
Key Achievements
Top Papers
- 1