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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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Event Vision for Autonomous Off-Road Navigation,sis and determining the appropriate steering angle within a margin of safety. Within the framework of Neuromorphic Vision (NV) and Event Cameras (EC), the proposed concept is tackling several issues within the development of autonomous systems. In particular, the use of Transformer based backbone fo
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Multi-armed Bandit Approach for Task Scheduling of a Fixed-Base Robot in the Warehouse,ers the history of the tasks to estimate the probabilities of corresponding pickup requests (or tasks). The stochastic MAB scheduler ensures that the mobile robot with higher estimates of probabilities is given top priority. Results demonstrate that a stochastic multi-armed bandit based approach red
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Machine Learning and Deep Learning Approaches ,g 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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A Review on Deep Learning on UAV Monitoring Systems for Agricultural Applications,oked 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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Intelligent Control System for Hybrid Electric Vehicle with Autonomous Charging,each 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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Book 2023significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such
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,Übersicht über die Faktorenanalyse,camera. The proposed framework is validated in the ROS-Gazebo environment for interception of a target moving in a repetitive figure-of-eight trajectory. Astroid, Deltoid, Limacon, Squircle, and Lemniscates of Bernoulli are some of the high-order curves used for algorithm validation.
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