Shunda Hu

Zhejiang Lab

Papers

1

Total Citations

4

H-Index

1

About

Shunda Hu is a pioneering researcher in the field of service robotics, with a primary focus on multi-person tracking systems for tour-guide robots. Her most significant contribution is the development of TGRMPT, a head-shoulder aided multi-person tracker specifically designed to address the unique challenges faced by tour-guide robots operating in crowded, dynamic environments. Recognizing that existing multi-object tracking methods were inadequate for these applications, Hu created both an innovative tracking algorithm and a large-scale dataset tailored to tour-guide robot scenarios. Her work bridges a critical gap in service robotics, enabling robots to track surrounding people more robustly for safe and polite navigation. With her research accumulating citations and laying foundational work for practical robot deployment in public spaces, Hu's contributions are particularly notable for their applied focus on real-world service robot challenges. Her development of specialized tracking solutions represents an important step forward in making autonomous tour-guide robots more reliable and socially aware in human-populated environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Zhejiang Lab

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago