Learning-Based Visual Servoing for High-Precision Peg-in-Hole Assembly
Visual servoing is widely used in the peg-in-hole assembly due to the uncertainty of pose.Humans can easily align the peg with the hole according to key visual points/edges.By imitating human behavior, we propose P2HNet, a learning-based neural network that can directly extract desired landmarks for visual servoing.To avoid collecting and Billiards