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1. 西安交通大学人工智能与机器人研究所,陕西 西安 710049
2. 西安交通大学人工智能学院,陕西 西安 710049
Published Online:2022-09,
Published:15 September 2022
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Chao ZHAO, Jie XU, Xingyu CHEN, et al. A review of continual learning for robotics[J]. Chinese journal of intelligent science and technology, 2022, 4(3): 308-323.
Chao ZHAO, Jie XU, Xingyu CHEN, et al. A review of continual learning for robotics[J]. Chinese journal of intelligent science and technology, 2022, 4(3): 308-323. DOI: 10.11959/j.issn.2096-6652.202235.
当前机器人技术面临的较大限制之一是难以适应不断变化的任务,当机器人面对新环境或者学习新任务时,会不可避免地遗忘旧环境或旧任务的经验。为了总结机器人持续学习的研究和发展现状,首先介绍了持续学习的框架和评价基准,然后阐述了持续学习在机器人任务中的必要性和面临的挑战,并对持续学习的发展现状进行了回顾,最后展望了机器人持续学习的发展前景,提出了一些有价值的研究问题。
One of the limitations of robotics is that it is difficult for robots to adapt to fickle tasks.A robot will inevitably forget the knowledge from old environments or tasks when facing new environments or tasks.In order to summarize research in continual learning for robotics
firstly
the framework and evaluation protocols in continual learning were introduced.And then necessity and challenge of continual learning in the robotics were expounded.The research for continual learning was also summarized.Finally
the prospect of continual learning was predicted and some valuable research directions were put forward.
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