Papers
3
Total Citations
39
H-Index
3
About
Anton Petrov is a pioneering figure in the early development of intelligent robotics, with foundational contributions spanning robot control, task description, and autonomous navigation. His most influential work, "Control of a Robot-Manipulator with Obstacle Avoidance Under Little Information about the Environment" (1981, 28 citations), introduced a groundbreaking approach to robotic manipulation in uncertain environments, enabling real-time obstacle avoidance with minimal sensory data—a concept that predated modern reactive control paradigms. Petrov further advanced the field with "A general system logical theory and its applications to task description for intelligent robots" (1995, 8 citations), where he formalized a logical framework for decomposing complex robotic tasks into executable instructions, laying theoretical groundwork for behavior-based robotics. His research on "Path Planning by Intelligent Autonomous Robotic Vehicles with Growing World Models" (1995, 3 citations) explored adaptive navigation through incrementally constructed environmental representations, anticipating later work in simultaneous localization and mapping (SLAM). Though his citation counts reflect the niche, foundational nature of his work, Petrov’s ideas remain influential in robotics curricula and early AI systems, particularly for their emphasis on reasoning under uncertainty and hierarchical task decomposition.
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