AI-Driven Robotic Task Optimization

Fuente: Zenodo
Saved in:
Bibliographic Details
Main Author: Budihal, Shivaraj
Format: Recurso digital
Language:English
Published: Zenodo 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866902143750897664
author Budihal, Shivaraj
author_facet Budihal, Shivaraj
contents <p>This research project titled <em>“AI-Driven Robotic Task Optimization”</em> is an original work authored by Sai Kshipra Budihal. No part of this document may be reproduced, distributed, or transmitted in any form or by any means—electronic or mechanical—without prior written permission from the author, except for brief quotations used in academic or educational contexts with proper citation.<br>All external figures, datasets, and resources referenced within are credited to their respective owners and used under <strong>fair use</strong> for non-commercial, educational purposes.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17342231
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle AI-Driven Robotic Task Optimization
Budihal, Shivaraj
AI-driven robotics, task optimization, reinforcement learning, convolutional neural networks ,autonomous systems
<p>This research project titled <em>“AI-Driven Robotic Task Optimization”</em> is an original work authored by Sai Kshipra Budihal. No part of this document may be reproduced, distributed, or transmitted in any form or by any means—electronic or mechanical—without prior written permission from the author, except for brief quotations used in academic or educational contexts with proper citation.<br>All external figures, datasets, and resources referenced within are credited to their respective owners and used under <strong>fair use</strong> for non-commercial, educational purposes.</p>
title AI-Driven Robotic Task Optimization
topic AI-driven robotics, task optimization, reinforcement learning, convolutional neural networks ,autonomous systems
url https://doi.org/10.5281/zenodo.17342231