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About

Oleg Kramar is a leading researcher in robotics and intelligent control systems, specializing in the development of neural network-based solutions for complex robotic manipulation. His primary research areas include inverse kinematics, dual-arm robot coordination, and underwater robotics. Kramar’s most impactful work, published in 2022, introduces an artificial neural network approach to solving the inverse kinematics problem for the anthropomorphic manipulator of robot SAR-401, a contribution that has garnered 24 citations for its innovative design. He has also made significant strides in underwater robotics, developing control system testing methodologies for dual-arm underwater robots (6 citations) and advancing stereo vision systems for object detection and recognition in aquatic environments (5 citations). Kramar’s notable achievements include his work on self-collision avoidance for dual-arm multi-link robots, where he applied neural networks to prevent mutual collisions during cooperative tasks—a critical challenge in industrial and underwater applications. With a growing citation record and a focus on practical, real-world robotics challenges, Kramar’s research continues to shape the future of autonomous manipulation and underwater exploration.