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About

L. R. Kholoshevskaya is a researcher specializing in the design, control, and optimization of parallel robotic manipulators, with a strong focus on rehabilitation engineering and precision motion planning. Her work bridges theoretical kinematics and practical implementation, particularly for lower-extremity passive orthoses and tripod-style robots. In her most cited paper (2020, 4 citations), she developed numerical methods to identify the parameters of a parallel 3-PRRR manipulator while accounting for workspace boundaries, enabling more effective integration with passive orthosis movements for rehabilitation. Her 2018 work (3 citations) addresses optimal trajectory planning for tripod robots, combining motion path optimization with standard control theory to improve real-world execution. A subsequent 2020 study (2 citations) experimentally investigates the accuracy of a planar 3-RPR mechanism, modeling how velocity, inertial drive properties, and workspace limits affect path-following precision. Kholoshevskaya’s contributions are notable for their applied focus—developing algorithms and models that directly enhance the performance and safety of robotic systems used in medical and industrial settings. Her research offers valuable insights for engineers working on parallel kinematics, rehabilitation robotics, and trajectory optimization.