- Kai Yuan
- Christopher McGreavy
- Chuanyu Yang
- Wouter J. Wolfslag
- Zhibin Li
Original language | English |
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Pages (from-to) | 87 - 101 |
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Number of pages | 15 |
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Journal | IEEE Robotics and Automation Magazine |
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Volume | 27 |
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Issue number | 2 |
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Early online date | 13 Apr 2020 |
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DOIs | |
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Publication status | Published - 1 Jun 2020 |
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From the advancement in computers, computer-aided design for mechanical and electronic engineering, architecture and many other engineering fields emerged. Foreseeing a similar development curve and technology wave, we forecast a new emerging discipline in the near future that uses learning-aided approaches for catalysing control development, alongside other similar applications such as in medicine discovery. In this study, we propose a new paradigm of using a machine learning approach to facilitate a quicker, more efficient and effective control development, as a different approach of leveraging the power of machine learning in addition to other options that intent to use learning directly in real-world applications
- Artificial intelligence, Humanoid robots, Hip, Torso, Training, Control systems
ID: 140949391