Kamil Kukliński · Researcher · Max Robotics

About

Kamil Kukliński is a robotics researcher whose work centers on making industrial robots more accessible to non-expert users through intuitive teaching methods. His primary research areas include Programming by Demonstration (PbD), teleoperation, and human-robot interaction, with a particular focus on enabling lay users to efficiently program complex assembly tasks. Kukliński’s most influential contribution is his comparative analysis of robot control methods for PbD, where he systematically evaluated kinesthetic guidance, teleoperation, and external controls—a study that has garnered 59 citations and become a foundational reference in the field. He further advanced this work by comparing data glove versus object manipulation for teleoperation (43 citations), demonstrating how different interfaces affect teaching efficiency. Notably, Kukliński also developed a novel tele-operation device that allows dynamic switching between control points during demonstrations, addressing industry demands for flexibility and speed in robot teaching. His research on intuitive error resolution strategies during robot demonstrations has provided valuable insights into how naïve users recover from mistakes, contributing to safer and more user-friendly robotic systems. Through these contributions, Kukliński has helped bridge the gap between complex industrial robotics and practical, everyday usability.