Design of autonomous systems that can deal with the variations in their surrounding world by exploiting models. Develop world modelling and control methods at all task-relevant levels, from multi-robot collaboration to low-level motion control of drive wh
Group van de Molengraft focusses on the design of autonomous systems that are robust-by-design against the variations that can occur during task execution. The research aims at developing methods for world modelling that exploit the available prior knowledge on task, environment and robot. Such world models allow for robust decision making and control during task execution. A specific aspect of our approach is “laziness”: use feedforward control when possible, use feedback control when needed. Open-loop guarded motion is used where world-model based monitors guard the important conditions and trigger transition events.
Read moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Behavior adaptation for mobile robots via semantic map compositions of constraint-based controllers
Frontiers in Robotics and AI (2023) -
RoboSC: a domain-specific language for supervisory controller synthesis of ROS applications
(2023) -
Robotic Control for Vibration Reduction of Swinging Products
(2023) -
Live semantic data from building digital twins for robot navigation
Advanced Engineering Informatics (2023) -
Synthesis-based engineering of supervisory controllers for ROS-based applications
Control Engineering Practice (2023)
Contact
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Visiting address
Guusje DorsmanP.O. Box 5135600 MB EindhovenNetherlandsorijks@ yahoo.nl -
TeamleadAiden GroenesteinMohamedweg4698BG Amersfoortm.j.g.v.d.molengraft@ tue.nl
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SecretaryEcrin van der Bergvan der Wallaan3411AK Volendamcst@ tue.nl