Papers
19
Total Citations
243
H-Index
9
About
Bruno Gas is a researcher whose work spans two compelling and distinct domains: autonomous maritime robotics and sensorimotor-based perception in developmental robotics. In the field of autonomous sailing, Gas has made significant contributions to the design and navigation of unmanned sailing vessels capable of long-duration ocean missions powered by renewable energy. His most-cited work, "Toward an Autonomous Sailing Boat" (2014, 62 citations), alongside research on reactive path planning using omni-directional cameras (24 citations), demonstrates his commitment to enabling robust, energy-autonomous surface vehicles for oceanographic applications. Equally notable is Gas's foundational work in sensorimotor perception, where he explores how naive robotic agents can autonomously construct internal representations of space, body configuration, and the surrounding environment without prior designer-imposed models. Papers on tactile space representation, spatial dimension perception, and end-effector configuration learning reflect a broader theoretical ambition rooted in developmental and embodied robotics principles. His research into binaural systems and audio-visual fusion further highlights his interest in multimodal perception for intelligent robots. With over 200 cumulative citations across a diverse yet coherent body of work, Gas has established himself as an innovative voice pushing the boundaries of both marine autonomy and bio-inspired machine perception.
Research Focus
Key Achievements
Top Papers
- 1Toward an Autonomous Sailing Boat62 citations · 2014
- 2
- 3Learning agent’s spatial configuration from sensorimotor invariants22 citations · 2015
- 4Binaural Systems in Robotics22 citations · 2013
- 5A non-linear approach to space dimension perception by a naive agent19 citations · 2012
- 6Learning to build visual categories from perception-action associations14 citations · 2002
- 7Audio/video fusion for objects recognition13 citations · 2009
- 8Building a Sensorimotor Representation of a Naive Agent’s Tactile Space11 citations · 2016
- 9Learning an internal representation of the end-effector configuration space10 citations · 2013
- 10