Papers
9
Total Citations
116
H-Index
5
About
Vadim Kramar is a leading researcher in marine and anthropomorphic robotics, specializing in the development of intelligent control systems for autonomous and remotely operated robotic agents. His work spans two critical domains: the Marine Internet of Things (MIoT) and the control of dual-arm manipulators. In his most cited paper (53 citations), Kramar pioneered the concept of an MIoT platform to enable interoperability and digital navigation among heterogeneous marine agents, including autonomous underwater vehicles and remotely operated vehicles, laying the groundwork for next-generation underwater robotics. He has made significant contributions to solving the inverse kinematics problem for anthropomorphic manipulators, notably for the SAR-401 robot, using artificial neural networks (24 citations). Kramar has also advanced self-collision avoidance for dual-arm robots through linear algebra and neural network approaches, and developed programming-by-demonstration methods for intuitive robot training. His work on underwater dual-arm robots, including control system modeling and stereo vision for object detection, addresses key challenges in subsea operations. With a growing citation record and a focus on practical, interoperable systems, Kramar is shaping the future of marine and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 5Modeling and testing of control system for an underwater dual-arm robot6 citations · 2020
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