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Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat\u2019s behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.<\/jats:p>","DOI":"10.1155\/2016\/6459251","type":"journal-article","created":{"date-parts":[[2016,6,29]],"date-time":"2016-06-29T19:25:02Z","timestamp":1467228302000},"page":"1-12","source":"Crossref","is-referenced-by-count":20,"title":["Automatic Training of Rat Cyborgs for Navigation"],"prefix":"10.1155","volume":"2016","author":[{"given":"Yipeng","family":"Yu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaohui","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kedi","family":"Xu","sequence":"additional","affiliation":[{"name":"Qiushi Academy for Advanced Studies, 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