Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills
international conference on robotics and automation, 2019.
Personal robots assisting humans must perform complex manipulation tasks that are typically difficult to specify in traditional motion planning pipelines, where multiple objectives must be met and the high-level context be taken into consideration. Learning from demonstration (LfD) provides a promising way to learn these kind of complex...More
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