Angewandte Technisch-Kognitive Systeme/en

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The research focuses on technologies of applied machine intelligence. Based on fundamental research new systems such as autonomous service robots, autonomous vehicles or assistance systems with cognitive capabilities are to be realized. The use of these so-called technical-cognitive systems takes place primarily in the context of highly automated, efficient and intermodal mobility; connected, automated production and logistics as well as the interactive support of the user in everyday situations.

Perception, situation assessment as well as decision making are the primarily addressed basics of machine intelligence. Methods for machine learning and probabilistic inference are thereby researched and applied for all components. The holistic use of neural methods in the areas of adaptive perception and behavioral decision making is being accounted for in the long term with the newly formed research focus of neurorobotics. Procedures for system evaluation and validation form an additional focus in the context of applied research. Autonomous vehicles like CoCar and CoCar-Zero, mobile robots such as the assistant robot Hollie, the walking robot Lauron or the inspection robot Cairo thereby form valuable integration and evaluation platforms for applied research. They are developed in close cooperation with the FZI and used for joint research and teaching.

2020-09-21: Best Dissertation Award - IEEE ITS Society
2018-11-15: Audi Autonomous Driving Cup 2018: Team AlpaKa wins the title
2018-11-05: Best Paper Award - IEEE International Conference on Intelligent Transportation Systems (ITSC)
2018-06-28: Best Paper Award - IEEE Intelligent Vehicles Symposium (IV)
2018-06-28: Best Paper Award - IEEE Intelligent Vehicles Symposium (IV)

Open Thesis Projects

Automated/Autonomous Driving - Prediction and Planning in the Context of Cooperative Driving

Machine Learning applied to Automated/Autonomous Driving - Safe Cooperative Multi-Agent Trajectory Planning

Machine Learning applied to Automated/Autonomous Driving - Cooperative Multi-Agent Reinforcement Learning with Safety Assurances

Machine Learning applied to Automated/Autonomous Driving - Learning Cost Metrics for Cooperative Driving

Open Positions

Student Assistant | Cooperatively Interacting Automobiles

Student Assistant | Systemadministration

Research Scientist | Highly Automated Driving

Our Partner Institutes
Forschungsbereich ISPE



Active Projects
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SPP 1835: Kooperativ interagierende Automobile
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Testfeld Autonomes Fahren
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