… robots by doing the exploratory learning and motor planning concept using adaptive … co-robots
are ability to withstand in the dynamic environment while doing any motor planning system…

… a neural network-based approach is promising in improving the performance of the VA control
system in a … different types of neural networks as well as deep learning-based techniques. …

… unified system in which the vehicle autonomously navigates along the structured trees rows
whereas the humans on the vehicle … In addition, Space exploration and UAVs are also some …

… Unlike current mobile robots that autonomously operate without considering humans, these
flying collocated and cooperative robots (co-robots) are intended to interact and cooperate …

… • Reliance on autonomous co-robots: many robotic systems can communicate with each …
“Application of artificial neural network based on q-learning for mobile robot path planning,” …

… a neural network-based approach is promising in improving the performance of the VA control
system in a … different types of neural networks as well as deep learning-based techniques. …

… In this study, the exploration of the practicality of employing RA and AI techniques in … workers
and transported by one or more mobile collaborative robots (co-robots) [121], and Sun et al. …

… Abstract: This paper discusses a particle swarm optimization (PSO)-based motion-planning
algorithm in a multiple-vehicle system that minimizes the traveling time of the slowest vehicle …

… The emerging research into collaborative robots (co-robots) is gaining attention as a strategy
… There are several reports of machine learning algorithms used in the exploration of oil and …

… , self-driving cars on the roads, co-robots, etc. Therefore, the … infer latent reward function by
exploration and exploitation. For … verification of an artificial neural network-based feed-forward …