T. R. Akhtyamov

Skolkovo Institute of Science and Technology

Papers

Total Citations

H-Index

About

T. R. Akhtyamov is a rising researcher in the field of underwater robotics, with a focus on human-robot interaction (HRI) and computer vision. Their work centers on enabling robots to perceive and communicate with humans in challenging underwater environments, bridging the gap between classical and modern AI approaches. Akhtyamov’s major contributions include a comparative analysis of classical and neural network methods for object detection in underwater robotics competitions, offering critical insights into the trade-offs between speed and accuracy. They have also advanced underwater HRI by developing a stereo camera system for interaction tasks and pioneering the use of recurrent neural networks for diver gesture recognition. This latter work addresses the open problem of interpreting human signals underwater, a key step toward safer and more efficient collaborative robots. With a growing citation record—including papers from 2022 to 2024—Akhtyamov’s research is gaining recognition for its practical impact on underwater robotics, particularly in competition and collaboration scenarios. Their achievements highlight a promising trajectory in making underwater robots more intuitive and responsive to human operators.