Mykhaylo Nykolaychuk

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About

Mykhaylo Nykolaychuk is a robotics researcher specializing in trajectory optimization and high-precision robot manipulation, with a particular focus on industrial and surgical applications. His work addresses the critical challenge of improving robot accuracy for tasks requiring exact end-effector paths, such as welding, cutting, and camera inspection. In his 2014 paper on robot trajectory optimization for relaxed end-effector paths (11 citations), Nykolaychuk developed methods to optimize motion laws while maintaining path fidelity, directly impacting industrial automation efficiency. His 2017 contribution to high-accuracy robot-assisted surgery (5 citations) introduced a novel error modeling approach using polynomial regression to enhance absolute tool pose accuracy. This work cleverly leverages the principle that repeatability often exceeds absolute accuracy, proposing methods to bridge that gap for surgical precision. Nykolaychuk’s research sits at the intersection of industrial robotics and medical applications, demonstrating how fundamental kinematic optimization can enable safer, more reliable autonomous systems. His contributions are particularly valuable for researchers working on robot calibration, path planning, and the translation of industrial techniques to surgical robotics.