Kevin Jebbink

Invariant-Based World Models for Robust Robotic Systems Demonstrated on an Autonomous Football Table

This work explains the use of invariants in robotic perception and control skills. An “invariant” is a mathematical constraint that remains unchanged under a particular transformation in a system. This property makes robotic functionalities more robust against “disturbances” that cause these transfo