robot trajectory tracking using depth data and learning algorithms

What is it about?

This paper proposes a framework for trajectory tracking of wheeled robots in indoor environment. it is supposed that the robot is only equipped with a vision system e.g. a Kinect camera. The main challenge in this problem is determining suitable control architecture.

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Why is it important?

Our new method combines supervised learning, deep learning and reinforcement learning.