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pro vyhledávání: '"inverse statics models"'
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
Learning (inverse) kinematics and dynamics models of dexterous robots for the entire action or observation space is challenging and costly. Sampling the entire space is usually intractable in terms of time, tear, and wear. We propose an efficient app
Externí odkaz:
https://doaj.org/article/3fdfe61341b44de8be7795c5d93501fa
Publikováno v:
Frontiers in Neurorobotics
Frontiers in Neurorobotics, Vol 12 (2018)
Front. Neurorobot. 12:68. doi: 10.3389/fnbot.2018.00068
Frontiers in Neurorobotics, Vol 12 (2018)
Front. Neurorobot. 12:68. doi: 10.3389/fnbot.2018.00068
Learning (inverse) kinematics and dynamics models of dexterous robots for the entire action or observation space is challenging and costly. Sampling the entire space is usually intractable in terms of time, tear, and wear. We propose an efficient app