Jieru Zhao

Shanghai Jiao Tong University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Jieru Zhao is a leading researcher in intelligent robotics and active scene reconstruction, with a focus on enabling autonomous systems to perceive and navigate unknown environments in real time. Her most notable contribution is the development of HGS-Planner, a hierarchical planning framework that leverages 3D Gaussian Splatting for high-quality, real-time scene reconstruction. This work is pivotal for complex missions such as search and rescue, where robots must make intelligent decisions without prior environmental knowledge. By integrating advanced perception with motion planning, Dr. Zhao’s research directly enhances situational awareness and autonomy in robotics. Her HGS-Planner paper, published in 2025, has already garnered early citations, reflecting its immediate impact on the field. Dr. Zhao’s work bridges the gap between computer vision and robotics, offering practical solutions for active reconstruction and exploration. Her achievements are particularly relevant for students and researchers interested in embodied AI, autonomous navigation, and real-time 3D mapping, positioning her as a rising innovator in next-generation robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
HGS-Planner: Hierarchical Planning Framework for Active Scene Reconstruction Using 3D Gaussian Splatting
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago