Motion Planning Of an Autonomous Mobile Robot Using Artificial Neural Network

07/20/2012

∙

The paper presents the electronic design and motion planning of a robot based on decision making regarding its straight motion and precise turn using Artificial Neural Network (ANN). The ANN helps in learning of robot so that it performs motion autonomously. The weights calculated are implemented in microcontroller. The performance has been tested to be excellent.

READ FULL TEXT

Motion Planning Of an Autonomous Mobile Robot Using Artificial Neural Network

A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures

Implementation of a Vision System for a Landmine Detecting Robot Using Artificial Neural Network

Artificial Neural Network Algorithm based Skyrmion Material Design of Chiral Crystals

JEDAI Explains Decision-Making AI

Ensemble Learning Model on Artificial Neural Network-Backpropagation (ANN-BP) Architecture for Coal Pillar Stability Classification

OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network

Machine learning prediction for mean motion resonance behaviour – The planar case

Motion Planning Of an Autonomous Mobile Robot Using Artificial Neural Network

Related Research

A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures

Implementation of a Vision System for a Landmine Detecting Robot Using Artificial Neural Network

Artificial Neural Network Algorithm based Skyrmion Material Design of Chiral Crystals

JEDAI Explains Decision-Making AI

Ensemble Learning Model on Artificial Neural Network-Backpropagation (ANN-BP) Architecture for Coal Pillar Stability Classification

OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network

Machine learning prediction for mean motion resonance behaviour – The planar case