Scaling Robot Intelligence With Cloud-Based Cloning Platforms

Author:

Gowda V. Dankan1ORCID,Kadam Kirti Rahul2,S. G. Suma3,Bhopale Shrikant D.4ORCID,Nithya R.5

Affiliation:

1. Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Karnataka, India

2. Management Department, Bharati Vidyapeeth University, Kolhapur, India

3. Department of Computer Science and Engineering, Mahaguru Institute of Technology, India

4. Dr. D.Y. Patil Pratishthan's College of Engineering, Kolhapur, India

5. Department of Computer Science and Engineering, Vivekananda College of Engineering for Women, India

Abstract

Robotics needs to be applied in many different areas which requires the existence of better-quality platforms whose performance and function can be refined. The cloud and robotic cloning in this chapter offer an innovative idea. As a result, utilizing the immense capabilities and scalability of cloud computing can only make robotic systems better and more capable in multi-robot cooperative scenarios. The chapter offers an outline of the theoretical foundations, advantages, possible concurrent applications, and future direction for cloud-based cloning platforms. By exploring the subject in depth, readers will discover how cloud-based cloning platforms can play the role of a major enabling factor making scaling up intelligence and capability possible as multi-robot systems open new frontiers for robotics.

Publisher

IGI Global

Reference32 articles.

1. A novel approach of unsupervised feature selection using iterative shrinking and expansion algorithm

2. A novel RF-SMOTE model to enhance the definite apprehensions for IoT security attacks

3. IoT Based AI and its Implementations in Industries

4. Hegge, K. K., & Agrawal, R. (2023). Industrial Automated Multipurpose Robot Using WIFI. 2023 4th International Conference for Emerging Technology (INCET), 1-8.

5. Design and Implementation of Single to Multi-cloud Securities in Network;N.Hussain;Advances in Computing and Information. ERCICA 2023. Lecture Notes in Electrical Engineering,2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3