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About

Viktor Michna is a robotics researcher whose work centers on real-time motion planning, trajectory optimization, and control for wheeled robots. His major contributions lie in the application of cubic Hermite splines for path planning and tracking, enabling smooth, computationally efficient robot navigation under speed and obstacle constraints. His most cited paper (11 citations) introduces a framework combining extended Kalman filtering with cubic Hermite splines for real-time robot control, while his constrained optimization work (4 citations) extends these methods to time-optimal trajectory generation. Michna has also advanced human-robot interaction through computer-assisted manual control interfaces, tested in robot-soccer applications, and contributed to multi-robot coordination strategies as part of the VSB-TU Ostrava robot-soccer team. His work bridges theoretical spline-based path planning with practical, real-time implementation, impacting fields from autonomous navigation to competitive robotics. With a focused publication record from 2010, Michna’s research demonstrates a sustained commitment to improving the precision, speed, and reliability of wheeled robot motion in dynamic environments.