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InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
We address the problem of devising the means for a robot to rapidly and safely learn insertion skills with just a few human interventions and without hand-crafted rewards or demonstrations.
InsertionNet -- A Scalable Solution for Insertion
Complicated assembly processes can be described as a sequence of two main activities: grasping and insertion.
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
In recent years, industrial robots have been installed in various industries to handle advanced manufacturing and high precision tasks.
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