Shuang Geng

Zhejiang University

Papers

1

Total Citations

18

H-Index

1

About

Shuang Geng is a leading researcher in robotics, specializing in motion planning, collision evaluation, and autonomous navigation for complex environments. Their most notable contribution is the development of the "Robo-Centric ESDF" framework, a fast and accurate whole-body collision evaluation tool that enables any-shape robotic platforms to navigate cluttered spaces with unprecedented flexibility. This work addresses a critical bottleneck in robotics—balancing computational efficiency with precise collision avoidance—by moving beyond conservative corridor-based methods that impose rigid constraints on trajectory generation. With 18 citations since its 2023 publication, this paper has already influenced the design of agile mobile robots operating in dynamic, unstructured settings. Geng’s research is pivotal for advancing autonomous systems in applications ranging from warehouse logistics to search-and-rescue, where safe, real-time navigation is paramount. Their work exemplifies a shift toward more adaptive, whole-body planning approaches, positioning them as a key innovator in the field of robotic motion planning and control.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Robo-Centric ESDF: A Fast and Accurate Whole-Body Collision Evaluation Tool for Any-Shape Robotic Planning
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Zhejiang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago