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Stulp, Freek and Spranger, Michael and Listmann, Kim and Doncieux, Stéphane and Tenorth, Moritz and Konidaris, George and Abbeel, Pieter (2022) Innovation Paths for Machine Learning in Robotics. IEEE Robotics & Automation Magazine, 29 (4), pp. 141-144. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MRA.2022.3213205. ISSN 1070-9932.
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Official URL: https://ieeexplore.ieee.org/document/9975165
Abstract
Presents interviews conducted with robotics engineers discussing advances in artificial intelligence, with particular use in machine learning. Advances in artificial intelligence (AI), especially in machine learning (ML), are changing the business models of many companies, and creating entirely new ones. Recent research estimates that AI could boost profitability rates by 38% worldwide, leading to an economic boost of €12 trillion across a variety of industries by 2035. This immense number is an accumulation of many smaller numbers, related to the successful deployment of ML at individual companies, including small and medium-sized enterprises (SMEs) and start-ups.
| Item URL in elib: | https://elib.dlr.de/191940/ | ||||||||||||||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||||||||||||||
| Title: | Innovation Paths for Machine Learning in Robotics | ||||||||||||||||||||||||||||||||
| Authors: |
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| Date: | 7 December 2022 | ||||||||||||||||||||||||||||||||
| Journal or Publication Title: | IEEE Robotics & Automation Magazine | ||||||||||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||||||
| Volume: | 29 | ||||||||||||||||||||||||||||||||
| DOI: | 10.1109/MRA.2022.3213205 | ||||||||||||||||||||||||||||||||
| Page Range: | pp. 141-144 | ||||||||||||||||||||||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||||||||||
| ISSN: | 1070-9932 | ||||||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||||||
| Keywords: | robotics, machine learning, innovation | ||||||||||||||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||||||||||||||
| HGF - Program Themes: | Robotics | ||||||||||||||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||||
| DLR - Program: | R RO - Robotics | ||||||||||||||||||||||||||||||||
| DLR - Research theme (Project): | R - Autonomous learning robots [RO] | ||||||||||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
| Institutes and Institutions: | Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics Institute of Robotics and Mechatronics (since 2013) | ||||||||||||||||||||||||||||||||
| Deposited By: | Stulp, Freek | ||||||||||||||||||||||||||||||||
| Deposited On: | 16 Dec 2022 14:58 | ||||||||||||||||||||||||||||||||
| Last Modified: | 25 Jan 2023 09:56 |
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