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About

Lionel Torres is a leading figure in bio-inspired robotics, best known for his pioneering work on the AQUA robot, a highly versatile amphibious platform capable of swimming, walking, and crawling. His key research areas span biologically plausible vision systems, autonomous navigation, and the development of multi-terrain robots. Torres’s major contributions include the design and implementation of AQUA’s vision-based guidance system, which allows the robot to navigate underwater using servo-controlled visual servoing and to generate high-resolution 3D range scans of its environment. His foundational papers, “A visually guided swimming robot” (138 citations) and “AQUA: an aquatic walking robot” (123 citations), have become essential references in the field of amphibious robotics, demonstrating how hexapod locomotion can be adapted for complex aquatic and terrestrial environments. Torres also advanced the integration of biologically plausible vision algorithms with reactive control systems, such as coupling stereo-matching with the Deformable Virtual Zone (DVZ) method for collision avoidance. His work on AQUA has inspired subsequent research in search-and-rescue, environmental monitoring, and marine exploration, establishing him as a key innovator in the development of robust, vision-guided autonomous robots.