Papers
8
Total Citations
821
H-Index
7
About
Thomas Lemaire is a pioneering roboticist whose research has fundamentally shaped two critical domains: visual simultaneous localization and mapping (SLAM) and multi-robot task allocation. His seminal 2007 work, "Vision-Based SLAM: Stereo and Monocular Approaches" (252 citations), established foundational techniques for enabling robots to navigate unknown environments using only cameras. Lemaire's most impactful contribution lies in solving the "bearing-only SLAM" problem—a notoriously difficult challenge where robots must estimate landmark positions without distance measurements. His 2005 papers on undelayed initialization (156 citations) and practical 3D bearing-only SLAM (126 citations) introduced elegant mathematical frameworks that allowed immediate landmark mapping from single-camera observations, dramatically improving real-time performance. In parallel, Lemaire revolutionized multi-UAV coordination with his 2004 distributed task allocation scheme (196 citations), which enabled autonomous drones to dynamically assign and replan tasks without central control—a breakthrough for swarm robotics. His work on panoramic vision SLAM (59 citations) further expanded perception capabilities. With over 800 total citations across his portfolio, Lemaire's algorithms remain essential reading for anyone building autonomous robots that see, navigate, and collaborate.
Research Focus
Key Achievements
Top Papers
- 1Vision-Based SLAM: Stereo and Monocular Approaches252 citations · 2007
- 2A distributed tasks allocation scheme in multi-UAV context196 citations · 2004
- 3Undelayed initialization in bearing only SLAM156 citations · 2005
- 4A practical 3D bearing-only SLAM algorithm126 citations · 2005
- 5SLAM with Panoramic Vision59 citations · 2007
- 6Decision Making in Multi-UAVs Systems: Architecture and Algorithms19 citations · 2007
- 7
- 8More Vision for SLAM4 citations · 2008