Dmitry Malyshev
Belgorod State Technological University, University of Calabria
Papers
37
Total Citations
246
H-Index
8
About
Dmitry Malyshev is a robotics and control systems researcher whose work spans parallel and serial manipulator design, multi-robot coordination, and intelligent automation for biomedical applications. His research has made notable contributions to workspace analysis, singularity avoidance, and trajectory planning for complex robotic architectures, with particularly influential work on developing geometric and optimization-based methods for determining robot workspaces in both parallel and multi-robot configurations — approaches that have collectively attracted dozens of citations across the field. A recurring theme in Malyshev's portfolio is the translation of theoretical frameworks into practical systems. His robotic platform for blood serum aliquoting, powered by neural network-based machine vision, exemplifies this applied orientation, as does his conceptual design of a parallel manipulator-based lower-limb rehabilitation system. On the control theory side, his collaborations on event-triggered super-twisting sliding-mode controllers for multi-agent formation and consensus problems — garnering over 50 combined citations — demonstrate a strong command of robust and stochastic control under real-world network uncertainties. With his most-cited paper accumulating 29 citations since 2020 and a research trajectory moving toward biomedical robotics and intelligent manufacturing, Malyshev stands as an emerging contributor bridging advanced robot kinematics with practical automation challenges.
Research Focus
Key Achievements
Top Papers
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- 8Parallel algorithm for approximating the work space of a robot8 citations · 2019
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