Dominik Heczko
Papers
6
Total Citations
90
H-Index
4
About
Dominik Heczko is a robotics researcher whose work focuses on enhancing human-robot collaboration and optimizing robotic manipulator design. His key research areas include haptic feedback systems, sensor placement optimization, and kinematic structure synthesis. Heczko’s most impactful contribution is his 2021 paper on “Intuitive Spatial Tactile Feedback for Better Awareness about Robot Trajectory during Human–Robot Collaboration,” which has garnered 42 citations. In this work, he developed hand-worn haptic devices that communicate a robot’s motion intentions to human workers, significantly improving mutual perception and safety in collaborative environments. His research on laser line triangulation sensors (18 citations) has advanced data collection reliability by investigating how incidence angles affect reflected laser intensity across industrial materials. Heczko has also contributed to robotic arm design methodology, including topology optimization for mobile robot manipulators used in the European Rover Challenge. His work on kinematic structure synthesis (15 citations) helps determine optimal manipulator configurations for specific tasks, reducing costs and expanding reach capabilities. With papers spanning from 2020 to 2025, Heczko continues to push boundaries in collaborative robotics, particularly through his recent work on optimized grid voxelization for obstacle avoidance.
Research Focus
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Top Papers
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