Titlebook: Artificial Intelligence for Robotics and Autonomous Systems Applications; Ahmad Taher Azar,Anis Koubaa Book 2023 The Editor(s) (if applica

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https://doi.org/10.1007/978-3-642-61985-4g with their uses. Additionally, the chapter discusses extensive machine learning techniques such as machine learning for robotics. And finally, a discussion about the issues and future of artificial intelligence applications in robotics.

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https://doi.org/10.1007/978-3-319-08708-5oked into different deep learning models and compared their model performances in using various types of drones and different environmental conditions during data gathering. Topics on plant monitoring include pest infiltration, plant growth, fruit conditions, weed invasion, etc. While topics on anim

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Fallacies Arising from Ambiguityeach tool‘s role, an easy management loop is designed and implemented. Then propose a hybrid charging system between PV and WR and then used an intelligent power distribution system. Then, Matlab/Simulink software is used to simulate the energetic performance of an electric vehicle with this hybrid

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Fallacies Arising from Ambiguitypresent chapter discusses three important methods to improve the quality of service (QoS) and quality of experience (QoE) parameters of the robotic and autonomous vehicle applications. The first one is consistency-guaranteed and collision-resistant approach that can be used by the advanced sensor de

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Efficient Machine Learning of Mobile Robotic Systems Based on Convolutional Neural Networks, different CNN models (i.e., structures and parameters) are trained, validated, and tested on real-world image data gathered by a mobile robot’s stereo vision system. The best performing CNN models based on two criteria—the number of frames per second and mean intersection over union are implemented

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UAV Path Planning Based on Deep Reinforcement Learning,er proposes an improved DQN algorithm combined with artificial potential fields, establishing a reward function to evaluate the behavior of UAV, which could guide the UAV to reach the target point as soon as possible under the premise of avoiding obstacles. The network structure, state space, action

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,Drone Shadow Cloud: A New Concept to?Protect Individuals from Danger Sun Exposure in GCC Countries,the sun’s rays. This chapter presents a new concept to protect construction workers from dangerous sun exposure in hot temperatures. The fly umbrella drone with a UV-blocker fabric canopy provides a stable shaded area. The solution minimizes heat stress and protects them from UV rays when working ou

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