Comparative study of neural networks in path planning for catering robots

Neural Networks (NN) have been the forefront of growth in recent years due to their variety, the opportunities they provide and most importantly their dynamic nature. A control system for catering robots for path planning is proposed with the help of neural networks as a comparative study. Various p...

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Bibliographic Details
Main Authors: Bharadwaj, H., E, Vinodh Kumar
Format: Conference Proceeding
Language:English
Subjects:
catering
Neural network
Path planning
robotics
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Summary:Neural Networks (NN) have been the forefront of growth in recent years due to their variety, the opportunities they provide and most importantly their dynamic nature. A control system for catering robots for path planning is proposed with the help of neural networks as a comparative study. Various parameters such as training time, performance of the network, forecasted distance are considered after iterating to obtain the optimal dataset using Probabilistic Roadmap (PRM) algorithm. Approximately 36% improvement in forecasted distance was obtained using neural networks when compared to the traditional PRM algorithm.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2018.07.051