Artificial Intelligence for Digitizing Industry 

 

 

 

Project Publications

2020 - foxBMS - free and open BMS platform focused on functional safety and AI

Author: S. Waldhör, S. Bockrath, Martin Wenger, Radu  Schwarz, V.R.H. Lorentz

Title: foxBMS - free and open BMS platform focused on functional safety and AI

Year of publication: 2020

Published in: PCIM Europe digital days 2020

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2020 - Improving Positioning Accuracy of an Articulated Robot Using Deep Q-Learning Algorithms

Author: Petronis, V. Bučinskas, M. Šumanas, A. Dzedzickis, L. Petrauskas, N.E. Sitiajev, I. Morkvenaite-Vilkonciene.

Title: Improving Positioning Accuracy of an Articulated Robot Using Deep Q-Learning Algorithms.

Year of publication: 2020

Published in: Automation 2020: Towards Industry of the Future (pp 257-266)

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2020 - Benchmarking Automotive LiDAR Performance in Arctic Conditions

Author: M. Kutila, P. Pyykönen, M. Jokela, T. Gruber, M. Bijelic, W. Ritter

Title: Benchmarking Automotive LiDAR Performance in Arctic Conditions

Year of publication: 2020

Published in: 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC)

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2020 - On the Use of Answer Set Programming for Model-Based Diagnosis

Author: F. Wotawa

Title: Improving On the Use of Answer Set Programming for Model-Based Diagnosis

Year of publication: 2020

Published in: IEA/AIE 2020: Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices (pp 518-529)

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2020 - State of Charge Estimation using Recurrent Neural Networks with Long Short-Term Memory for Lithium-Ion Batteries

Author: S. Bockrath, A. Rosskopf, S. Koffel, S. Waldhör, K. Srivastava, V.R.H. Lorentz

Title: State of Charge Estimation using Recurrent Neural Networks with Long Short-Term Memory for Lithium-Ion Batteries

Year of publication: 2020

Published in: IEEE 45th Annual Conference of the Industrial Electronics Society

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AI4DI-Consortium

Acknowledgement

AI4DI has received funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union's H2020 Framework Programme and National Authorities, under grant agreement n° 826060.

Funding

 

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