Papers
5
Total Citations
223
H-Index
4
About
Pierrick Koch is a robotics researcher whose work spans autonomous robot navigation, simulation frameworks, and multi-robot systems. His most significant contribution lies in the domain of simultaneous localization and mapping (SLAM), where his 2016 paper on ICP-based pose-graph SLAM — garnering 143 citations — addressed a fundamental challenge in mobile robotics: the inevitable drift that accumulates when LIDAR-based odometry systems sequentially register point clouds along a robot's trajectory. By introducing a graphical model layer atop such localization pipelines, Koch helped establish a more robust foundation for long-term autonomous navigation. Beyond navigation, Koch has made meaningful contributions to robotic simulation, co-developing the MORSE framework — a flexible, open-source simulator for complex robotic scenarios that has earned 64 citations and become a recognized tool in the research community. His work on integrating realistic simulation engines further extended MORSE's capabilities. Koch has also explored the design of sense-compute-control applications through the DiaSpec language and investigated environment model management within multi-robot teams, reflecting a broad interest in making robots more cooperative and context-aware. Taken together, his research reflects a sustained commitment to bridging theoretical robotics with practical, deployable systems.
Research Focus
Key Achievements
Top Papers
- 1ICP-based pose-graph SLAM143 citations · 2016
- 2Simulating Complex Robotic Scenarios with MORSE64 citations · 2012
- 3
- 4Managing environment models in multi-robot teams5 citations · 2016
- 5Integrating realistic simulation engines within the MORSE framework2 citations · 2016