Malware Robotics Open Source
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Robotic Process Automation
ROBOTIC PROCESS AUTOMATION Presenting the latest technologies and practices in this ever-changing field, this groundbreaking new volume covers the theoretical challenges and practical solutions for using robotics across a variety of industries, encompassing many disciplines, including mathematics, computer science, electrical engineering, information technology, mechatronics, electronics, bioengineering, and command and software engineering. Robotics is the study of creating devices that can take the place of people and mimic their behaviors. Mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, and other subjects are all included in robotics. Robots can be employed in a variety of scenarios and for a variety of objectives, but many are now being used in hazardous areas (such as radioactive material inspection, bomb detection, and deactivation), manufacturing operations, or in conditions where humans are unable to live (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation). Walking, lifting, speaking, cognition, and any other human activity are all attempted by robots. Many of today’s robots are influenced by nature, making bio-inspired robotics a growing area. Defusing explosives, seeking survivors in unstable ruins, and investigating mines and shipwrecks are just a few of the activities that robots are designed to undertake. This groundbreaking new volume presents a Robotic Process Automation (RPA) software technique that makes it simple to create, deploy, and manage software robots that mimic human movements while dealing with digital systems and software. Software robots can interpret what’s on a screen, type the correct keystrokes, traverse systems, locate and extract data, and do a wide variety of predetermined operations, much like people. Software robots can do it quicker and more reliably than humans, without having to stand up and stretch or take a coffee break.
Mastering AI and Cloud Robotics
DESCRIPTION This book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described. This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics. This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries. KEY FEATURES ● Learn the basics of cloud computing and advanced AI techniques for cloud robotics applications. ● Gain hands-on experience through practical exercises and examples to strengthen your understanding of applications in cloud robotics. ● Outline the steps to develop a cloud robotic application using ROS and AWS. WHAT YOU WILL LEARN ● Understand cloud computing concepts, including service models, deployment models, and security. ● Explore cloud robotics history, benefits, and AI integration in robotic systems. ● Learn AI algorithms, ML, and deep learning for robotics applications. ● Gain skills in computer vision, object detection, and enhancing robot perception using AI. ● Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience. WHO THIS BOOK IS FOR The primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming. TABLE OF CONTENTS 1. Fundamentals of Cloud Computing 2. Introduction to Cloud Robotics 3. Artificial Intelligence in Cloud Robotics 4. Artificial Intelligence and Robot Perception 5. Cloud Robotics Connectivity 6. Communications and Processing in Cloud Robotics 7. Robot Operating System 2 8. Building a Cloud-enabled Robot 9. AI and Robotics Using AWS 10. Security in Cloud Robotics 11. Real-world Cloud Robotics Applications 12. Conclusion and Future Directions
Autonomous Field Robotics
Author: Johannes Lehmann
language: en
Publisher: SAE International
Release Date: 2022-10-17
The market penetration of highly automated agricultural vehicles in crop farming and arable environments is still very low. However, the unsettled issues and market barriers stem from three main topics. The first is the technical development and appropriate framework conditions for hardware and software required for autonomous field vehicles. The second is the regulatory framework needed to facilitate investment by manufacturers and users. Finally, the third topic is the willingness of the user to accept the non-deterministic systems that are common in agricultural practices today. Autonomous Field Robotics is a joint report between SAE International and the German Institute for Standardization (DIN) developed to enable relevant stakeholders—including users, regulators, researchers, and manufacturers, among others—to discuss the barriers facing automated agricultural vehicles. The report includes a cross-industry and cross-sector exchange on the three central aspects, a prioritization of the unsettled questions to be addressed, as well as a pragmatic framework to enable the use of autonomous field robotics beyond the scientific context in agricultural practice. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022023