Interactive Embodied Intelligence of Machines
This paper discusses how intelligent machines have replaced humans in tasks requiring, heavy, and repetitive labor, whilst being better suited to the requirements of these jobs. The increased capacity for brute force computation has facilitated increased collaborative innovation between man and mach...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-12-01
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| Series: | CAAI Artificial Intelligence Research |
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| Online Access: | https://www.sciopen.com/article/10.26599/AIR.2024.9150018 |
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| _version_ | 1841550213708251136 |
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| author | Deyi Li |
| author_facet | Deyi Li |
| author_sort | Deyi Li |
| collection | DOAJ |
| description | This paper discusses how intelligent machines have replaced humans in tasks requiring, heavy, and repetitive labor, whilst being better suited to the requirements of these jobs. The increased capacity for brute force computation has facilitated increased collaborative innovation between man and machines. For example, the intelligent farming machines have overcome the confines of computational power, algorithms, and data, and the next generation of intelligent farming machines is expected to interact, learn, and grow autonomously. In the future, in addition to self enhancement, humans are expected to teach machines to learn and work. Scientists and engineers will collaborate with machines to accomplish invention, discovery, and creation. For “embodied intelligence” in the farming machine context, we propose (1) deep learning should be performed iteratively via real-time interactions with the external world; (2) embodied control and self-regulation can ensure coordination between behaviors of machines and their environment; (3) intelligent farming machines are characterized by the ability to interact, learn, and grow autonomously. |
| format | Article |
| id | doaj-art-b902f4e40a544906ad3b5a33e68c82d8 |
| institution | Kabale University |
| issn | 2097-194X 2097-3691 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | CAAI Artificial Intelligence Research |
| spelling | doaj-art-b902f4e40a544906ad3b5a33e68c82d82025-01-10T06:44:32ZengTsinghua University PressCAAI Artificial Intelligence Research2097-194X2097-36912024-12-013915001810.26599/AIR.2024.9150018Interactive Embodied Intelligence of MachinesDeyi Li0Deparment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.This paper discusses how intelligent machines have replaced humans in tasks requiring, heavy, and repetitive labor, whilst being better suited to the requirements of these jobs. The increased capacity for brute force computation has facilitated increased collaborative innovation between man and machines. For example, the intelligent farming machines have overcome the confines of computational power, algorithms, and data, and the next generation of intelligent farming machines is expected to interact, learn, and grow autonomously. In the future, in addition to self enhancement, humans are expected to teach machines to learn and work. Scientists and engineers will collaborate with machines to accomplish invention, discovery, and creation. For “embodied intelligence” in the farming machine context, we propose (1) deep learning should be performed iteratively via real-time interactions with the external world; (2) embodied control and self-regulation can ensure coordination between behaviors of machines and their environment; (3) intelligent farming machines are characterized by the ability to interact, learn, and grow autonomously.https://www.sciopen.com/article/10.26599/AIR.2024.9150018embodied intelligencehuman-machine interactionmachine intelligence |
| spellingShingle | Deyi Li Interactive Embodied Intelligence of Machines CAAI Artificial Intelligence Research embodied intelligence human-machine interaction machine intelligence |
| title | Interactive Embodied Intelligence of Machines |
| title_full | Interactive Embodied Intelligence of Machines |
| title_fullStr | Interactive Embodied Intelligence of Machines |
| title_full_unstemmed | Interactive Embodied Intelligence of Machines |
| title_short | Interactive Embodied Intelligence of Machines |
| title_sort | interactive embodied intelligence of machines |
| topic | embodied intelligence human-machine interaction machine intelligence |
| url | https://www.sciopen.com/article/10.26599/AIR.2024.9150018 |
| work_keys_str_mv | AT deyili interactiveembodiedintelligenceofmachines |