Papers

1

Total Citations

2

H-Index

1

About

Haolu Li is a researcher at the forefront of swarm robotics and multi-agent systems, with a focus on cooperative perception and coordinated navigation. Their most-cited work, "Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation" (2025), introduces a novel framework that enables robot swarms to share sensory data and dynamically adjust their paths in real-time, enhancing collective situational awareness and obstacle avoidance. This contribution addresses a critical bottleneck in autonomous swarm operations—how to maintain robust navigation under limited communication and sensing constraints. Although early in its publication lifecycle, the paper has already garnered 2 citations, signaling growing interest from the robotics community. Li’s research bridges theoretical algorithms and practical deployment, with implications for search-and-rescue missions, environmental monitoring, and industrial automation. Their work stands out for its emphasis on scalable, decentralized decision-making, ensuring that each robot operates with minimal computational overhead while contributing to the swarm’s overall intelligence. As a rising voice in swarm intelligence, Haolu Li is shaping how future autonomous systems will collaborate in complex, unstructured environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Beijing Information Science & Technology University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago