Vision-Based Imitation Learning in Heterogeneous Multi-Robot Systems: Varying Physiology and Skill
Imitation learning enables a learner to improve its abilities by observing others. Most robotic imitation learning systems only learn from demonstrators that are similar physically and in terms of skill level. In order to employ imitation learning in a heterogeneous multi-agent environment, we must...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Chinese Institute of Automation Engineers (CIAE) & Taiwan Smart Living Space Association (SMART LISA)
2012-06-01
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| Series: | International Journal of Automation and Smart Technology |
| Subjects: | |
| Online Access: | http://www.ausmt.org/index.php/AUSMT/article/view/111 |