Multi-Robot Planning and Control Lab
About this team
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Our research vision is to build robot systems that are capable of acting competently in the real world. We study, develop and combine automated planning and control methods to achieve this capability. We strive to implement these methods as publicly available software solutions. These serve as tools for deepening our theoretical and practical understanding of planning and control for single- and multi-robot systems, and as frameworks for developing automation solutions in cooperation with our industrial partners.
Research projects
- AI4EU
- AutoBoomer - Automated Drill Planning for Multiple-Boom Rigs in Underground Mining
- AutoHauler - Automated Planning and Coordination of Autonomous Haulers in Underground Mines
- ILIAD: Intra-Logistics with Integrated Automatic Deployment for safe and scalable fleets in shared spaces
- iQMobility
- Machine Learning to enhance AI Planning for Intelligent Transport Systems
- Semantic Robots
