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Hierarchical visuomotor control of humanoids

2018-11-23 · ICLR 2019 5 · Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Si-Qi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne

We aim to build complex humanoid agents that integrate perception, motor control, and memory. In this work, we partly factor this problem into low-level motor control from proprioception and high-level coordination of the low-level skills informed by vision. We develop an architecture capable of surprisingly flexible, task-directed motor control of a relatively high-DoF humanoid body by combining pre-training of low-level motor controllers with a high-level, task-focused controller that switches among low-level sub-policies. The resulting system is able to control a physically-simulated humanoid body to solve tasks that require coupling visual perception from an unstabilized egocentric RGB camera during locomotion in the environment. For a supplementary video link, see https://youtu.be/7GISvfbykLE .

📄 PDF Abstract BibTeX arXiv:1811.09656

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