Sebastien Canu
Papers
2
Total Citations
20
H-Index
2
About
Sebastien Canu is a leading researcher in multi-robot systems and autonomous surveillance, with a focus on information gathering under uncertainty. His work addresses fundamental challenges in deploying robot teams for critical monitoring tasks, such as industrial security, search and rescue, and planetary exploration. Canu’s most influential contribution, “Multi-objective multi-robot surveillance” (2009, 16 citations), pioneers a framework for coordinating robots to simultaneously check diverse environmental properties—like fire alarms, intrusions, or bio-hazards—a problem previously considered intractable. This work provides a rigorous characterization of optimal solutions for competing surveillance objectives. He further advances the field through “Improving robot plans for information gathering tasks through execution monitoring” (2013, 4 citations), which bridges the gap between deterministic planning and real-world noisy sensors by enabling robots to adapt their plans mid-mission. Canu’s research is notable for its practical impact on Mars rover planning and robotic monitoring, demonstrating how theoretical models can drive real-world autonomy. His contributions continue to shape how multi-robot teams intelligently gather information in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Multi-objective multi-robot surveillance16 citations · 2009
- 2