Publication
Mobipick Labs System Demonstration
Oscar Lima; Martin Günther; Alexander Sung; Sebastian Stock; Marc Vinci; Amos Smith; Jan Christoph Krause; Joachim Hertzberg
In: Sven Koenig; Roni Stern; Mauro Vallati (Hrsg.). Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, System Demonstration. International Conference on Automated Planning and Scheduling (ICAPS-2023), System Demonstration, located at ICAPS, July 8-13, Prague, Czech Republic, AAAI Press, Palo Alto, California USA, 7/2023.
Abstract
In this demonstration we show the mobipick labs environment, which is a testbed for planning, execution and monitoring algorithms in a robotic domain. It provides a physics-based simulation environment for a mobile robot together with full integration of the robot and easy-to-use interface for the robot's capabilities. This gives users without a strong robotics background the opportunity to apply their planning-related work to a robotic domain. Moreover, the framework includes a simple semantic and numeric environment representation, providing real-time knowledge in the form of "facts" that can be utilized to monitor the execution status. Finally we also demonstrate one possible solution using task planning to search and transport certain objects to a target location.
Projects
- APRIL - Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes
- InCoRAP - Intentionsbasierte kooperative Roboterhandlungsplanung und Werkerunterstützung in Fabrikumgebungen
- AIPlan4EU - Bringing AI Planning to the European On-Demand AI Platform