Self learning robot using real-time neural networks

01/06/2020
by   Chirag Gupta, et al.
0

With the advancements in high volume, low precision computational technology and applied research on cognitive artificially intelligent heuristic systems, machine learning solutions through neural networks with real-time learning has seen an immense interest in the research community as well the industry. This paper involves research, development and experimental analysis of a neural network implemented on a robot with an arm through which evolves to learn to walk in a straight line or as required. The neural network learns using the algorithms of Gradient Descent and Backpropagation. Both the implementation and training of the neural network is done locally on the robot on a raspberry pi 3 so that its learning process is completely independent. The neural network is first tested on a custom simulator developed on MATLAB and then implemented on the raspberry computer. Data at each generation of the evolving network is stored, and analysis both mathematical and graphical is done on the data. Impact of factors like the learning rate and error tolerance on the learning process and final output is analyzed.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 6

page 7

page 8

11/17/2020

ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks

Gradient descent and backpropagation have enabled neural networks to ach...
05/15/2021

Gradient Descent in Materio

Deep learning, a multi-layered neural network approach inspired by the b...
08/07/2018

Robust Implicit Backpropagation

Arguably the biggest challenge in applying neural networks is tuning the...
03/05/2021

Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change

A multiplicative constant scaling factor is often applied to the model o...
03/20/2020

Event-Based Control for Online Training of Neural Networks

Convolutional Neural Network (CNN) has become the most used method for i...
07/26/2019

Making Neural Networks FAIR

Research on neural networks has gained significant momentum over the pas...
10/31/2020

A review of neural network algorithms and their applications in supercritical extraction

Neural network realizes multi-parameter optimization and control by simu...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.