Martin Cernil

Brno University of Technology

Papers

1

Total Citations

3

H-Index

1

About

Martin Cernil is a roboticist whose work focuses on the practical challenges of deploying mobile robots in multi-story environments. His key research areas include autonomous navigation, human-robot interaction, and sensor-based localization in constrained, human-centric spaces. Cernil’s major contribution lies in enabling wheeled mobile robots to independently use elevators—a critical step for expanding robots’ operational range in buildings. His most-cited paper, "Mobile Robot in the Elevator: What Floor Am I On?" (2022, 3 citations), addresses the specific problem of floor detection after an elevator stop, using sensor data to determine the robot’s vertical position. This seemingly narrow problem is foundational for robots that must navigate hospitals, offices, or warehouses spanning multiple floors. While his citation count is modest, the work is notable for its real-world applicability and the technical rigor required to solve a problem often overlooked in robotics. Cernil’s research exemplifies how incremental, hardware-aware solutions can bridge the gap between laboratory prototypes and functional service robots, making him a valuable contributor to the field of autonomous mobile systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Robot in the Elevator: What Floor Am I On?
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Brno University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago