Papers
71
Total Citations
879
H-Index
17
About
Mikhail Svinin is a prominent robotics researcher whose work spans nonholonomic motion planning, autonomous mobile robots, and robotic simulation environments. He is perhaps best known for his foundational contributions to spherical rolling robot dynamics, where his studies on rotorially and pendulum-actuated spherical robots have established rigorous mathematical frameworks for understanding and solving inherently complex dynamic motion planning problems. His 2014 paper on two-rotor spherical rolling robots (55 citations) and his 2013 companion work on dynamic modeling (42 citations) together represent landmark contributions to this specialized yet rapidly growing field, addressing singularity challenges and nonholonomic constraints that make such systems notoriously difficult to control. Beyond spherical robotics, Svinin has made meaningful contributions to practical autonomous systems, including spline-based path planning, visual SLAM method comparisons, and AI-driven search-and-rescue frameworks. His 2020 tool for automated Gazebo world construction (54 citations) demonstrates a talent for bridging theoretical innovation with accessible engineering solutions. His earlier work on extended state observer-based robot control (37 citations) reflects a longstanding interest in model-independent, robust control strategies. Collectively, Svinin's research portfolio — with papers accumulating hundreds of citations — reflects a researcher who consistently advances both the theoretical underpinnings and real-world applicability of modern robotics.
Research Focus
Key Achievements
Top Papers
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- 5Extended state observer based technique for control of robot systems37 citations · 2003
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