Deep Learning for Unmanned Systems

Deep Learning for Unmanned Systems

Koubaa, Anis; Azar, Ahmad Taher

Springer Nature Switzerland AG

10/2022

732

Mole

Inglês

9783030779412

15 a 20 dias

Descrição não disponível.
Deep Learning for Unmanned Autonomous Vehicles: A Comprehensive Review.- Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment.- Reactive Obstacle Avoidance Method for a UAV.- Guaranteed Performances for Learning-Based Control Systems using Robust Control Theory.- A cascaded deep Neural Network for Position Estimation of Industrial Robots.- Managing Deep Learning Uncertainty for Autonomous Systems.- Uncertainty-Aware Autonomous Mobile Robot Navigation with Deep Reinforcement Learning.- Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-Grids.- Reinforcement learning for Autonomous Morphing Control and Cooperative Operations of UAV Cluster.- Image-Based Identification of Animal Breeds Using Deep Learning.
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Unmanned Systems;Deep learning;Computational Intelligence;Hybrid Intelligent Systems;Internet-of-Drones;Navigation and Path Planning;Process Control;Robotics;Sensor Fusion