Zesu Cai
Papers
10
Total Citations
166
H-Index
6
About
Zesu Cai is a leading researcher in mobile robotics, with a primary focus on autonomous navigation, simultaneous localization and mapping (SLAM), and multi-robot coordination. His most influential work, "Robot path planning by leveraging the graph-encoded Floyd algorithm" (2021), has garnered 82 citations, demonstrating its significant impact on efficient path planning for robotic systems. Cai made foundational contributions to SLAM by introducing novel Rao-Blackwellized Particle Filters (RBPF) combined with unscented Kalman filters for monocular and stereo vision systems, enabling robust real-time mapping and localization in unknown environments. His early work on monocular vision-based navigation (2007, 28 citations) and multi-robot cooperative pursuit using task bundle auctions (2008, 16 citations) further established his expertise in intelligent, distributed robotic systems. Cai has also advanced practical applications, including odometric error modeling for precise pose tracking and GPRS-based guard robot alarm systems. With a career spanning foundational SLAM theory to applied multi-robot coordination, Cai’s research continues to influence autonomous navigation, cooperative robotics, and real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1Robot path planning by leveraging the graph-encoded Floyd algorithm82 citations · 2021
- 2Novel indoor mobile robot navigation using monocular vision28 citations · 2007
- 3
- 4Multi-robot Cooperative Pursuit Based on Task Bundle Auctions16 citations · 2008
- 5
- 6A method of task allocation and automated negotiation for multi robots6 citations · 2012
- 7Novel RBPF for Mobile Robot SLAM Using Stereo Vision3 citations · 2007
- 8Novel RBPF for Mobile Robot SLAM Using Stereo Vision*3 citations · 2010
- 9GPRS Based Guard Robot Alarm System Design2 citations · 2009
- 10Research on moving-target search strategies for multiple robots2 citations · 2005