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Comparative study of neural networks in path planning for catering robots
Bharadwaj H,
Published in Elsevier BV
Volume: 133
Pages: 417 - 423
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. © 2018 The Authors. Published by Elsevier Ltd.
About the journal
JournalData powered by TypesetProcedia Computer Science
PublisherData powered by TypesetElsevier BV
Open AccessYes