PhD Position in Collective Robot Learning (TU Munich)

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PhD Position in Collective Robot Learning (TU Munich)

« on: February 21, 2022, 00:23:02 am »

Description

The Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich is offering a PhD position focusing on using collective learning for tactile robots to learn manipulation skills to perform various tasks in future factory environments and beyond. We are seeking an outstanding applicant with passion for robotics and AI as well as a strong desire to shape the future AI-enabled, robotized factories. The successful candidate will contribute to the AI.Factory project (https://www.mirmi.tum.de/mirmi/innovation-sectors/work/kifabrik/), which is a flagship project of the Bavaria High-tech Agenda to build the first prototype AI factory in Bavaria and enable research and development in cutting-edge technologies in robotics, telepresence, wearable electronics and AI to revolutionize the future of work in production.

This project will give you a unique opportunity to work with large scale networked robot systems to accelerate learning of robotic skills for manufacturing and logistics processes. You will work closely with researchers at MIRMI from various chairs and industry partners in an interdisciplinary environment to share expertise and collaborate on research publications in top conferences and journals in robotics and AI.

The goal of the first prototype of AI Factory is to show how state-of-the-art IT and mechatronic high-tech components (e.g. computer systems, sensors, mechatronic components, entertainment electronics) can be manufactured economically in Bavaria in the future, regardless of the number of production units. The AI Factory will be able to reconfigure its modular facilities and robots involved for different products and enable Production-as-a-Service. To achieve this, the successful applicant will work on open problems about autonomous learning of robotic skills, involving physical interaction with environments for challenging manipulation tasks, understanding and reasoning task sequences and collaborative AI for robotics. Knowledge and experience will be shared among the networked group of robots to accelerate learning and acquiring of work techniques.

Key responsibilities/tasks

Contribute to the design and construction of reconfigurable and self-organized AI factory
Contribute to the design and implementation of networking mechanism of AI robots to enable knowledge transfer for collective learning
Collaborate with industry partners to generate analysis on skill primitives and taxonomy based on industrial use cases
Conduct research in autonomous skill learning using learning-from-demonstration / observation, reinforcement learning, genetic algorithms and or black-box optimization
Conduct research in collective learning to accelerate skill learning using large-scale networked AI robot systems

more -> https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20220217_202046


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