Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
This study presents a vision and proprioceptive data-driven robot control model for automating anchor-bolt insertion in construction. The model is designed to be robust under variable conditions such as lighting…
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