Alexander M. Anisimov
Papers
1
Total Citations
7
H-Index
1
About
Alexander M. Anisimov is a researcher whose work lies at the intersection of robotics, control theory, and environmental monitoring. His primary contributions focus on the development of guidance and control algorithms for nonholonomic robots operating in dynamic, unknown environments. In his most cited work, "Tracking of deforming environmental level sets of dynamic fields by a nonholonomic robot without gradient estimation" (2013, 7 citations), Anisimov introduced a sliding mode control method that enables a Dubins-car-like vehicle to autonomously track moving and deforming level sets of scalar fields—such as chemical plumes or temperature gradients—without requiring gradient estimation. This approach is particularly valuable for environmental surveillance and search-and-rescue missions where real-time field information is limited. Though his citation count is modest, the work demonstrates a rigorous mathematical foundation and practical relevance, offering a novel solution to a challenging problem in nonholonomic motion planning. Anisimov’s research is notable for its focus on minimal sensing requirements, making it applicable to resource-constrained robotic platforms. His contributions provide a foundation for further advances in autonomous environmental monitoring and adaptive control.
Research Focus
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Top Papers
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