Bas Herremans

Multi-Hypothesis Tracking in a Graph-Based World Model for Knowledge-Driven Active Perception

Robots that have to robustly execute their task in an environment containing many variations need situational awareness to adapt at run-time. This work proposes a knowledge-centered software architecture with a world model (WM) as a first class citizen, from which other software components can query