Rouhollah Rahmatizadeh

Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-to-End Learning from Demonstration

We propose a technique for multi-task learning from demonstration that trains the controller of a low-cost robotic arm to accomplish several complex picking and placing tasks, as well as non-prehensile manipulation. The controller is a recurrent neural network using raw images as input and generatin…