A Survey of Deep Learning Techniques for Mobile Robot Applications

2018/03/20 by Jahanzaib Shabbir, Shabbir, Jahanzaib, Tarique Anwer +1
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Robotics (cs.RO)

paper · pdf · doi:10.48550/arxiv.1803.07608

openalex publication_date 2018/03/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Advancements in deep learning over the years have attracted research into how deep artificial neural networks can be used in robotic systems. This research survey will present a summarization of the current research with a specific focus on the gains and obstacles for deep learning to be applied to mobile robotics.

Citations

• Deep Learning using Linear Support Vector Machines
• A Fast Learning Algorithm for Deep Belief Nets
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• On Learning to Think: Algorithmic Information Theory for Novel\n Combinations of Reinforcement Learning Controllers and Recurrent Neural World\n Models
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Related

• Deep Learning in Robotics: A Review of Recent Research
• The Limits and Potentials of Deep Learning for Robotics
• A Survey on Deep Learning Methods for Robot Vision
• Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
• Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System