Papers
7
Total Citations
124
H-Index
4
About
Bruno Steux is a robotics researcher whose work centers on Simultaneous Localization and Mapping (SLAM), a critical capability for autonomous robots navigating unknown environments. His most influential contribution is **tinySLAM**, a Laser-SLAM algorithm famously implementable in under 200 lines of C-language code, which demonstrated that efficient, high-performance mapping and localization could be achieved with remarkable simplicity. This work, published in 2010, has garnered **85 citations** and remains a touchstone for minimalist SLAM implementations. Steux extended this foundation with **tinySLAM 1.1**, which introduced parallel localization loops for enhanced robustness. He also explored visual SLAM on humanoid platforms, adapting algorithms for the NAO robot to function as a visual compass, and developed efficient scan-matching techniques using Streaming SIMD Extensions for grid-based laser SLAM. Beyond mapping, Steux contributed to safe indoor navigation systems using potential field methods. His work on the **CoreBot M** platform for the 2011 Carotte challenge further showcases his commitment to practical, deployable robotics. Steux’s research is distinguished by its focus on algorithmic elegance and computational efficiency, making advanced SLAM accessible for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1tinySLAM: A SLAM algorithm in less than 200 lines C-language program85 citations · 2010
- 2Humanoid robot navigation: From a visual SLAM to a visual compass14 citations · 2013
- 3SLAM algorithm with parallel localization loops: TinySLAM 1.19 citations · 2011
- 4
- 5Safe navigating system for indoor environments4 citations · 2011
- 6Autonomous Navigation and Mapping with CoreSLAM2 citations · 2013
- 7