Grzegorz Cielniak

About

Grzegorz Cielniak is a robotics researcher whose work spans mobile robotics, computer vision, and agricultural automation, with particular distinction in human-robot interaction and precision agriculture. His early career produced influential contributions to people tracking and motion modeling, most notably his 2005 work on learning human motion patterns for compliant robot navigation, which has accumulated over 400 citations and remains a foundational reference in socially aware robotics. Alongside this, his development of thermal vision-based tracking systems demonstrated innovative approaches to real-time person detection on mobile security robots. Cielniak's research later expanded into agricultural robotics, where he has made substantial contributions to autonomous systems for food production. His work on semantic segmentation for crop-weed discrimination, broccoli detection using RGB-D sensors, and deep learning-based crop row navigation reflects a sustained commitment to practical field robotics. His transfer learning approach for crop segmentation has attracted over 160 citations, signaling real-world impact in sustainable farming. Further demonstrating his breadth, his spectral analysis method for long-term robotic mapping and soil compaction mapping via autonomous exploration reveal a researcher equally comfortable in fundamental methodology and applied domains, consistently bridging theory with deployable robotic solutions.

Research Focus

Key Achievements

Top Papers

1. 1
   Learning Motion Patterns of People for Compliant Robot Motion

   406 citations · 2005
2. 2
   Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

   161 citations · 2019
3. 3
   3D‐vision based detection, localization, and sizing of broccoli heads in the field

   84 citations · 2017
4. 4
   Spectral analysis for long-term robotic mapping

   74 citations · 2014
5. 5
   Real-time people tracking for mobile robots using thermal vision

   72 citations · 2006
6. 6
   Active people recognition using thermal and grey images on a mobile security robot

   57 citations · 2005
7. 7
   Deep learning‐based crop row detection for infield navigation of agri‐robots

   56 citations · 2023
8. 8
   Semantically Assisted Loop Closure in SLAM Using NDT Histograms

   47 citations · 2019
9. 9
   Data association and occlusion handling for vision-based people tracking by mobile robots

   44 citations · 2010
10. 10
    3D Soil Compaction Mapping through Kriging-based Exploration with a Mobile Robot

    43 citations · 2018

Key Collaborators

Contact & Links