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pro vyhledávání: '"Bart L. Paulhamus"'
Autor:
Corban Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Generalizing prior experiences to complete new tasks is a challenging and unsolved problem in robotics. In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control (PICO). The approach combines ide
Externí odkaz:
https://doaj.org/article/a880c55be16a4d2c987e1f4abf81e1e2
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Christopher R. Ratto, Michael Wolmetz, Ashley J. Llorens, Bart L. Paulhamus, I-Jeng Wang, Kapil D. Katyal
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Recent breakthroughs and rapid progress in AI will impact, if not transform, every mission. JHU/APL developed an AI Technology Roadmap to guide the Laboratory’s contributions to the critical challenges the nation will face developing and implementi