Patrick Speleers
Papers
1
Total Citations
3
H-Index
1
About
Patrick Speleers is a robotics researcher whose work focuses on enhancing the safety and autonomy of mobile robots through innovative sensor-based collision detection. His key research areas include autonomous navigation, sensor integration, and real-time hazard perception. In his most-cited work, "Acceleration Based Collision Detection with a Mobile Robot" (2019), Speleers demonstrated how data from a three-axis accelerometer can be leveraged to detect collisions in real time. He systematically evaluated three detection methods—including a simple threshold on the acceleration signal along the driving direction—offering practical insights for improving robot robustness in unstructured environments. While his citation count is modest, his contributions are foundational for low-cost, reliable collision sensing in mobile robotics. Speleers’ work is particularly relevant for researchers developing autonomous systems that must operate safely alongside humans or in dynamic settings. His approach underscores the value of repurposing common sensors for critical safety functions, making his research a useful reference for students and engineers seeking to implement lightweight, acceleration-based hazard detection in mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1Acceleration Based Collision Detection with a Mobile Robot3 citations · 2019