Zhuoli Tian

Papers

1

Total Citations

5

H-Index

1

About

Zhuoli Tian is a rising researcher in autonomous robotics and multi-agent systems, with a focus on human-robot interaction in communication-constrained environments. His most-cited work, "iHERO: Interactive Human-oriented Exploration and Supervision Under Scarce Communication" (2024, 5 citations), addresses a critical challenge in deploying robot fleets for high-stakes missions such as subterranean exploration, reconnaissance, and search and rescue. Tian's key contribution lies in developing frameworks that enable robots to autonomously explore unknown scenes while maintaining effective human supervision despite limited connectivity. This work bridges the gap between full autonomy and human oversight, ensuring safety and efficiency in scenarios where direct control is impossible. Though early in his career, Tian's research has already garnered attention for its practical relevance to real-world disaster response and military operations. His approach emphasizes interactive, human-oriented design—allowing operators to guide exploration priorities without requiring constant communication. By tackling the fundamental tension between autonomy and human control, Zhuoli Tian is helping shape the next generation of resilient, collaborative robotic systems for dangerous and remote environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
iHERO: Interactive Human-oriented Exploration and Supervision Under Scarce Communication
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 19 days ago