Papers
8
Total Citations
40
H-Index
4
About
V. M. Lokhin is a leading researcher in the field of intelligent autonomous robotics, with a primary focus on multi-agent robotic systems, self-learning control architectures, and adaptive robot behavior. His work addresses fundamental challenges in creating robots that can operate autonomously in complex, partially determined environments without pre-programmed scenarios. Lokhin’s most significant contributions include developing finite-state automata techniques for task planning in robot groups, establishing methodologies for self-learning in autonomous robot control systems, and pioneering algorithms for intelligent control of reconfigurable robots with adaptive kinematic structures. His research on prototype multi-agent robotic debris removal systems demonstrates the practical application of his theoretical work to real-world emergency response scenarios. With over 40 total citations across his most-cited papers, Lokhin’s research has particular impact in the areas of automated learning from sensor data, man-machine interfaces for robotic systems, and network communication strategies for multi-agent collectives. His work on behavioral mechanisms ensuring network communications in robotic groups has advanced the understanding of how mesh-network technologies can support robust information exchange between autonomous agents operating as a collective.
Research Focus
Key Achievements
Top Papers
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- 4Autonomous Mobile Robot Self-Learning In Motion Planning Problem5 citations · 2015
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