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| ispl [2012/09/27 11:39] – mga | ispl [2012/10/01 07:53] (current) – [Intelligent Systems in Production & Logistics] mga |
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| {{ :research:plasma_screenshot.jpg?400 | A simulated scenario within PlaSMA}} | {{ :research:plasma_screenshot.jpg?400 | A simulated scenario within PlaSMA}} |
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| The research field covers planning and scheduling algorithms, (distributed) decision making, multiagent systems and interaction, distributed artificial intelligence, knowledge management, data mining, and simulation. New approaches, algorithms, and interaction mechanisms are evaluated with the [[http://plasma.informatik.uni-bremen.de/|PlaSMA Simulation System]] as well as directly with production robots in cooperation with the [[http://www.logdynamics.de/?&L=1 |BIBA]]. The PlaSMA Framework enables the simulation of logistic scenarios on real-world infrastructures. It provides a discrete time simulation that ensures a correct conservative synchronization with time model adequacy, causality and reproducibility. | The research field covers planning and scheduling algorithms, (distributed) decision making, multiagent systems and interaction, distributed artificial intelligence, knowledge management, data mining, and simulation-based reasoning. New approaches, algorithms, and interaction mechanisms are evaluated with the [[http://plasma.informatik.uni-bremen.de/|PlaSMA Simulation System]] as well as directly with production robots in cooperation with the [[http://www.logdynamics.de/?&L=1 |BIBA]]. The PlaSMA Framework enables the simulation of logistic scenarios on real-world infrastructures. It provides a discrete time simulation that ensures a correct conservative synchronization with time model adequacy, causality and reproducibility. |
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| The research group is associated with the [[http://logdynamics.biba.uni-bremen.de/?&L=1| Research Cluster for Dynamics in Logistics]] and was part of the [[http://www.sfb637.uni-bremen.de/?&L=2|Collaborative Research Centre 637 Autonomous Cooperating Logistic Processes – A Paradigm Shift and its Limitations (CRC 637)]]. Concepts and approaches developed within the CRC 637 have been adapted and refined to apply them successfully within current processes of our industrial partners to indentify new potentials for optimization. The research focuses on developing innovative approaches to enable autonomous logistic processes. Our objective is to improve planning and controlling processes with artificial intelligence in order to meet the increasing requirements and new challenges in logistics. | The research group is associated with the [[http://logdynamics.biba.uni-bremen.de/?&L=1| Research Cluster for Dynamics in Logistics]] and was part of the [[http://www.sfb637.uni-bremen.de/?&L=2|Collaborative Research Centre 637 Autonomous Cooperating Logistic Processes – A Paradigm Shift and its Limitations (CRC 637)]]. Concepts and approaches developed within the CRC 637 have been adapted and refined to apply them successfully within current processes of our industrial partners to indentify new potentials for optimization. The research focuses on developing innovative approaches to enable autonomous logistic processes. Our objective is to improve planning and controlling processes with artificial intelligence in order to meet the increasing requirements and new challenges in logistics. |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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