Trajectory learning using posterior hidden Markov model state distribution

Many life applications are extremely depending on using the robots, thus the human are seeking to develop efficient robots. Robot learning is to acquire extra knowledge in order to achieve objective configuration. In addition, robot learning from demonstration is about teaching the robot how to do s...

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Bibliografski detalji

Glavni autori:	Asmaa A.E. Osman, Reda A. El-Khoribi, Mahmoud E. Shoman, M.A. Wahby Shalaby
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2017-11-01
Serija:	Egyptian Informatics Journal
Teme:	Robots Trajectory learning Learning from demonstration Hidden Markov models Posterior state distribution of HMMs
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1110866516300950
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