Jan Maslowski
Papers
2
Total Citations
19
H-Index
2
About
Jan Maslowski is a researcher advancing the frontiers of human-robot collaboration, with a focus on intuitive control and safe, dynamic interaction. His work centers on developing novel interfaces and perception systems that make collaborative robots more accessible and adaptable. A key contribution is his pioneering exploration of hand gesture interfaces for robot path definition, demonstrating how natural human movements can replace traditional programming methods to enhance flexibility in shared workspaces. This research, published in 2023 and garnering 17 citations, provides a comparative framework for implementing gesture-based control in manufacturing and professional settings. More recently, Maslowski has tackled the critical challenge of obstacle avoidance, introducing optimized grid voxelization techniques that improve a robot's ability to dynamically re-plan paths around moving obstacles. His 2025 paper on this topic, already attracting attention, addresses the inefficiencies of conventional methods by reducing computational overhead and generated volume. Through these contributions, Maslowski is helping to shape a future where human-robot teams work together seamlessly, making his work essential reading for students and researchers in collaborative robotics, human-robot interaction, and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2