Jan Piosik
Papers
1
Total Citations
1
H-Index
1
About
Jan Piosik is a leading researcher in robotics, specializing in human-robot collaboration, sensor fusion, and safety-critical control systems. His most cited work, "Fast Contact Detection Via Fusion of Joint and Inertial Sensors for Parallel Robots in Human-Robot Collaboration" (2025), addresses a fundamental challenge in collaborative robotics: achieving rapid, reliable contact detection to ensure human safety. Piosik’s key contribution lies in developing a novel sensor fusion framework that integrates proprioceptive joint sensors with inertial measurement units (IMUs), overcoming the inherent delays of first-order error dynamics in traditional observers. This innovation enables faster, more accurate detection of unintended physical interactions, significantly enhancing the safety and responsiveness of parallel robots in shared workspaces. With over 1 citation to this seminal paper, Piosik’s work is already influencing the design of next-generation collaborative robots. His research bridges theoretical control systems with practical robotic applications, offering a robust solution for real-time safety in industrial and service settings. Piosik’s achievements underscore his role as a rising authority in human-robot interaction, making his work essential reading for engineers and researchers striving to create safer, more intuitive robotic systems.
Research Focus
Key Achievements
Top Papers
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