Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang,Yiwen Liu,Chengliang Liu,Jingnan Wang,Yuanzhe Su,Yupo Zhang,Hoiio Kong,Zhengkun Yi,Xinyu Wu,Senlin Fang,Yiwen Liu,Chengliang Liu,Jingnan Wang,Yuanzhe Su,Yupo Zhang,Hoiio Kong,Zhengkun Yi,Xinyu Wu
The sense of touch is essential for robots to perform various daily tasks. Artificial Neural Networks have shown significant promise in advancing robotic tactile learning. However, due to the changing of tactile data distribution as robots encounter new tasks, ANN-based robotic tactile learning suffers from catastrophic forgetting. To solve this problem, we introduce a novel continual learning (CL...
