Abstract
Humans have a fundamental ability that is to learn others’ experience for their own use, while humanoid robots don’t have. Several attempts have been made for specific situations in evolution and study of developmental robots. However, such attempts have provided limitations, e.g. others’ experience learning get overlooked. The present article proposes peers’ experience learning method, which first reviewed the evolution and development of developmental robots as some typical studies revealed, moving from humanlike to developmental. These terms are then reconsidered from humanoid robots’ viewpoint, particularly with the developmental principles: the verification principle and the embodiment principle. Next, a conceptual model of peers’ experience learning is proposed based on the principles, and the simulation results show that robots can “copy” peers’ experience to cognize and develop automatically. Finally, a general discussion and proposals for addressing future issues are given.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
