Shu Jiang

Georgia Institute of Technology

Papers

2

Total Citations

6

H-Index

2

About

Shu Jiang is a researcher specializing in human-robot interaction and autonomous systems, with a particular focus on the dynamics of distributed human-robot teams. Their work addresses one of the most pressing challenges in modern robotics: how robots can evolve from passive tools into collaborative, equal partners capable of autonomous decision-making within human teams. Jiang's most notable contributions center on initiative decision-making — the question of when and how robots should independently take action versus deferring to human operators. This research is especially relevant in high-stakes environments such as emergency response scenarios, including nuclear disaster situations like Fukushima, where teleoperated robots must bridge the communication and situational gap between remote operators and hazardous environments. By examining how initiative should be distributed across human-robot teams, Jiang's work aims to reduce the disconnect inherent in remote operations and improve overall team effectiveness. Though early in their research career, with their cited works from 2018 and 2019 accumulating citations that reflect a growing community interest, Jiang is contributing foundational thinking to a field with significant real-world implications for public safety, disaster response, and the future of collaborative autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Toward Initiative Decision-Making for Distributed Human-Robot Teams
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago