1 INTRODUCTION

2 DEEP LEARNING FOR ROBOTIC PERCEPTION

3 DEEP LEARNING FOR ROBOTIC CONTROL AND EXPLORATION

4 DEEP LEARNING IN ROBOTIC NAVIGATION AND AUTONOMOUS DRIVING

5 SEMI-SUPERVISED AND SELF-SUPERVISED LEARNING FOR ROBOTICS

6 MULTIMODAL DEEP LEARNING METHODS FOR ROBOTIC VISION AND CONTROL

7 APPLICATION OF DEEP MODELS TO PROBLEMS IN VISION AND ROBOTICS

8 BENEFITS AND DRAWBACKS OF DEEP LEARNING TO BE APPLIED IN MOBILE ROBOTS

9 CONCLUSION