Krzysztof Palenta

Papers

Total Citations

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About

Krzysztof Palenta is a robotics researcher whose work bridges the gap between industrial automation and intelligent vision systems. His primary research areas include robot motion planning, computer vision integration, and the application of smart cameras in manufacturing environments. Palenta’s most cited work, "KUKA Robot Motion Planning Using the 1742 NI Smart Camera" (2013), demonstrates his expertise in combining real-time visual feedback with robotic control—a critical contribution to flexible automation. With 6 citations, this paper showcases his ability to solve practical challenges in robot guidance, enabling more adaptive and precise industrial operations. His research has implications for reducing setup times and improving safety in human-robot collaboration. While his citation count reflects a focused, early-career impact, Palenta’s work is notable for its hands-on approach to integrating off-the-shelf hardware with advanced algorithms, making robotics more accessible to small and medium enterprises. For students and researchers exploring vision-guided robotics, Palenta’s contributions offer a clear example of how smart sensors can transform traditional robot programming into dynamic, real-time decision-making systems.