Search Results for author:
Found 2 papers, 0 papers with code
A Peg-in-hole Task Strategy for Holes in Concrete
Since the displacement increases as the peg gets closer to the hole (due to the chamfered shape of holes in concrete), it is a useful parameter for inputting in the DNN.
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
In this study, we introduce a vision and proprioceptive data-driven robot control model for this task that is robust to challenging lighting and hole surface conditions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
