Hybrid neurofuzzy online learning for optimal grasping

Abstract

In this paper, we describe the application of various machine learning methods to the problem of robust control of a robotic end effector. The methods studied are supervised neurofuzzy learning, unsupervised reinforcement learning and a supervised/unsupervised hybrid. Results show that the hybrid learning is superior in our tests.