Andy Racson
Papers
1
Total Citations
46
H-Index
1
About
Andy Racson is a leading researcher in autonomous underwater robotics, with a primary focus on perception and manipulation in challenging ocean environments. His work bridges the critical gap between physics-based simulation and real-world sonar perception, enabling more reliable autonomous operations beneath the waves. Racson’s most cited paper, “Physics-Based Modelling and Simulation of Multibeam Echosounder Perception for Autonomous Underwater Manipulation” (2021, 46 citations), addresses the fundamental challenge of turbidity, backscatter, and lighting effects that degrade underwater sensing. By developing high-fidelity models of multibeam echosounders, he has advanced the ability to simulate and predict sonar-based state estimation for underwater vehicles—a key enabler for tasks like deep-sea inspection and intervention. His contributions are vital for researchers and engineers working to improve the autonomy and safety of underwater robots in low-visibility conditions. Racson’s work stands out for its rigorous integration of physics-based simulation with practical manipulation tasks, offering a foundation for future advancements in marine robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1