Robert M. Jarvis
Papers
2
Total Citations
46
H-Index
2
About
Dr. Robert M. Jarvis is a leading researcher in mobile robotics, with key contributions to simultaneous localization and mapping (SLAM), multi-robot coordination, and sensor fusion. His most influential work, "Robust online map merging system using laser scan matching and omnidirectional vision" (28 citations), introduced a probabilistic framework for merging maps in real-time, enabling both single-robot intermittent exploration and scalable multi-robot mapping in large environments. This work is foundational for robust autonomous navigation in complex, dynamic spaces. Dr. Jarvis also advanced topological SLAM with "A pure vision-based approach to topological SLAM" (18 citations), where he developed a GPU-accelerated omnidirectional stereovision system that allows robots to perceive and plan paths using only visual data. This purely vision-driven method significantly reduces hardware costs while maintaining high accuracy. His research bridges the gap between theoretical SLAM algorithms and practical deployment, with applications in search-and-rescue, industrial automation, and planetary exploration. Dr. Jarvis’s work continues to influence modern robotics, particularly in sensor integration and real-time map merging, making him a respected figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2A pure vision-based approach to topological SLAM18 citations · 2010