Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing
Industrial robots and associated control methods are continuously developing. With the recent progress in the field of artificial intelligence, new perspectives in industrial robot control strategies have emerged, and prospects towards cognitive robots have arisen. AI-based robotic systems are stron...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/2/937 |
| _version_ | 1797495947707547648 |
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| author | Janis Arents Modris Greitans |
| author_facet | Janis Arents Modris Greitans |
| author_sort | Janis Arents |
| collection | DOAJ |
| description | Industrial robots and associated control methods are continuously developing. With the recent progress in the field of artificial intelligence, new perspectives in industrial robot control strategies have emerged, and prospects towards cognitive robots have arisen. AI-based robotic systems are strongly becoming one of the main areas of focus, as flexibility and deep understanding of complex manufacturing processes are becoming the key advantage to raise competitiveness. This review first expresses the significance of smart industrial robot control in manufacturing towards future factories by listing the needs, requirements and introducing the envisioned concept of smart industrial robots. Secondly, the current trends that are based on different learning strategies and methods are explored. Current computer-vision, deep reinforcement learning and imitation learning based robot control approaches and possible applications in manufacturing are investigated. Gaps, challenges, limitations and open issues are identified along the way. |
| first_indexed | 2024-03-10T01:56:47Z |
| format | Article |
| id | doaj.art-51d3cb9089504cc1b4d66cdfdaa331be |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T01:56:47Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-51d3cb9089504cc1b4d66cdfdaa331be2023-11-23T12:55:27ZengMDPI AGApplied Sciences2076-34172022-01-0112293710.3390/app12020937Smart Industrial Robot Control Trends, Challenges and Opportunities within ManufacturingJanis Arents0Modris Greitans1Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaIndustrial robots and associated control methods are continuously developing. With the recent progress in the field of artificial intelligence, new perspectives in industrial robot control strategies have emerged, and prospects towards cognitive robots have arisen. AI-based robotic systems are strongly becoming one of the main areas of focus, as flexibility and deep understanding of complex manufacturing processes are becoming the key advantage to raise competitiveness. This review first expresses the significance of smart industrial robot control in manufacturing towards future factories by listing the needs, requirements and introducing the envisioned concept of smart industrial robots. Secondly, the current trends that are based on different learning strategies and methods are explored. Current computer-vision, deep reinforcement learning and imitation learning based robot control approaches and possible applications in manufacturing are investigated. Gaps, challenges, limitations and open issues are identified along the way.https://www.mdpi.com/2076-3417/12/2/937smart industrial robotscognitive roboticscomputer visionreinforcement learningimitation learningsynthetic data |
| spellingShingle | Janis Arents Modris Greitans Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing Applied Sciences smart industrial robots cognitive robotics computer vision reinforcement learning imitation learning synthetic data |
| title | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing |
| title_full | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing |
| title_fullStr | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing |
| title_full_unstemmed | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing |
| title_short | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing |
| title_sort | smart industrial robot control trends challenges and opportunities within manufacturing |
| topic | smart industrial robots cognitive robotics computer vision reinforcement learning imitation learning synthetic data |
| url | https://www.mdpi.com/2076-3417/12/2/937 |
| work_keys_str_mv | AT janisarents smartindustrialrobotcontroltrendschallengesandopportunitieswithinmanufacturing AT modrisgreitans smartindustrialrobotcontroltrendschallengesandopportunitieswithinmanufacturing |