Papers
3
Total Citations
14
H-Index
3
About
Yunze Hu is a leading researcher in swarm robotics, specializing in scalable and safe motion planning for large-scale multi-agent systems. His work addresses the critical trade-off between computational efficiency and solution quality in swarm coordination, particularly in complex, obstacle-dense environments. Hu's most influential paper, "SwarmPRM" (2024, 6 citations), introduces a probabilistic roadmap approach that enables efficient motion planning for swarms of cooperative agents without sacrificing solution quality. He further advances safety guarantees in "Risk-Aware Non-Myopic Motion Planner" (2024, 5 citations), which employs Conditional Value-at-Risk (CVaR) constraints to ensure risk-aware, non-myopic planning for large swarms. Most recently, his "SwarmDiff" (2025, 3 citations) leverages diffusion transformers to generate scalable, safe trajectories in cluttered environments, marking a significant step toward real-world deployment. Hu's contributions are pivotal for autonomous applications in logistics, search-and-rescue, and environmental monitoring, where large-scale coordination under uncertainty is essential. His work consistently pushes the boundaries of swarm intelligence, offering practical solutions to one of robotics' most challenging problems.
Research Focus
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