Petr Olivka

About

Petr Olivka is a robotics researcher whose work centers on advancing 3D perception and autonomous navigation for mobile robots, particularly in extreme environments like underground coal mines. His major contributions lie in the design and calibration of 3D laser range finders (LRFs) for Simultaneous Localization and Mapping (SLAM). His most cited work, "Calibration of Short Range 2D Laser Range Finder for 3D SLAM Usage" (2015, 35 citations), addresses a critical sensor accuracy problem, demonstrating that even short-range scanners require precise calibration to achieve reliable 3D mapping. Olivka’s research is distinguished by its practical, application-driven focus. He led the design of ruggedized 3D LRFs for the TELERESCUER project, a reconnaissance robot for inspecting disaster-affected coal mines, as detailed in his 2017 paper. His work on point cloud preprocessing and 3D map rendering for human operators (2016, 8 citations each) bridges the gap between raw sensor data and actionable spatial intelligence. By tackling the unique challenges of dirty, hazardous industrial environments, Olivka has made foundational contributions to field robotics, enabling safer exploration and mapping in some of the most demanding conditions on Earth.

Research Focus

Key Achievements

Top Papers

1. 1
   Calibration of Short Range 2D Laser Range Finder for 3D SLAM Usage

   35 citations · 2015
2. 2
   Exploration Mobile Robot for Coal Mines

   13 citations · 2015
3. 3
   The 3D laser range finder design for the navigation and mapping for the coal mine robot

   11 citations · 2016
4. 4
   The Design of 3D Laser Range Finder for Robot Navigation and Mapping in Industrial Environment with Point Clouds Preprocessing

   8 citations · 2016
5. 5
   Rendering of 3D Maps with Additional Information for Operator of a Coal Mine Mobile Robot

   8 citations · 2016
6. 6
   Telerescuer - reconnaissance mobile robot for underground coal mines

   3 citations · 2017

Key Collaborators

Contact & Links