3 papers
cs.RO2026
Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback
Fabian Domberg, Georg Schildbach
As learning-based robotic controllers are typically trained offline and deployed with fixed parameters, their ability to cope with unforeseen changes during operation is limited. B…
math.OC2025
Contingency Model-based Control (CMC) for Communicationless Cooperative Collision Avoidance in Robot Swarms
Georg Schildbach
Cooperative collision avoidance between robots, or `agents,' in swarm operations remains an open challenge. Assuming a decentralized architecture, each agent is responsible for mak…
eess.SY2025
AutoMPC: A Code Generator for MPC-based Automated Driving
Georg Schildbach, Jasper Pflughaupt
Model Predictive Control (MPC) is a powerful technique to control nonlinear, multi-input multi-output systems subject to input and state constraints. It is now a standard tool for…