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About

Piotr Prusaczyk is a robotics researcher whose work bridges the gap between theoretical modeling and practical industrial automation. His primary research areas include mobile robot dynamics, industrial robotic manipulation, and multi-robot cooperation systems. His most impactful contribution is the identification of dynamic model parameters for differential-drive mobile robots, a paper that has garnered 33 citations and establishes a rigorous offline identification methodology using the Levenberg-Marquardt algorithm. This work is foundational for improving robot control and simulation accuracy. Prusaczyk has also made significant strides in industrial sorting applications, demonstrating how robotic arms and vision systems can be integrated via TCP/IP protocols to enhance production line efficiency. His innovative concept of using modular mobile robots for telemechanical wire installation in pipelines addresses a critical need in infrastructure maintenance. Additionally, his experimental study on roller shutter gripper vibrations provides valuable insights for robotic palletizing stations. By enabling seamless cooperation between ROS-enabled mobile robots and industrial robots like the IRB 120, Prusaczyk is helping to shape the future of flexible, collaborative manufacturing environments.