Jakub Chlebek
Papers
2
Total Citations
19
H-Index
2
About
Jakub Chlebek is a robotics researcher focused on advancing human-robot collaboration through intuitive interfaces and intelligent path planning. His primary research areas include gesture-based control systems, collaborative robotics, and obstacle avoidance algorithms for dynamic manufacturing environments. Chlebek’s most cited work, “Hand Gesture Interface for Robot Path Definition in Collaborative Applications: Implementation and Comparative Study” (2023, 17 citations), demonstrates how natural hand gestures can replace traditional programming methods, making robotic systems more accessible in industrial settings. This contribution addresses the growing need for intuitive human-robot interaction in modern manufacturing processes. His more recent work, “Optimized Grid Voxelization for Obstacle Avoidance in Collaborative Robotics” (2025, 2 citations), tackles the challenge of efficient spatial representation for dynamic path replanning. By improving voxelization methods to reduce unnecessary volume generation, Chlebek’s research enables safer, more responsive collaborative robots that can navigate around moving obstacles in real time. His work bridges the gap between theoretical robotics and practical industrial applications, contributing to the development of more adaptable and user-friendly manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2