Here is a list of white papers. Please let us know if there is a white paper you would like to see that's not on the list. Just send us an email containing details about the white paper including Name, Publication Date, Contact Telephone, Email and URL if available.
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As the use of industrial robots grows, cobots—robots collaborating with humans—are also increasing in popularity. Discover the benefits this collaboration is bringing to both industrial operations and human co-workers in the manufacturing space. Read the Wind River® article, “Collaborative Efforts, Universal Gains.”
New Scale Robotics has released a new white paper exploring the evolution of QC measurement techniques for small parts. The paper highlights recent innovations that allow collaborative robots to do QC measurements, helping to bring the benefits of robotics from the manufacturing floor and into to the QC lab for high-mix, small-batch manufacturers. Like their counterparts in production, robots in QC automate dull and repetitive work, keep humans safe from injury, and deliver more consistent results.
The BitFlow SDK offers a number of different methods for programming and controlling a CoaXPress (CXP) camera connected to a BitFlow CXP frame grabber. While number of workflows might seem confusing, the design goal was to provide a methodology that meets the needs of a wide variety of users.
The purpose of the this document is to explain all the CXP tools that are available in the BitFlow SDK, and how their flexibility is actually quite powerful, and can be molded to meet each different application’s needs.
The new whitepaper summarizes what requirements a suitable leak detector must fulfill and how different product offerings compare with regard to these requirements. This whitepaper provides some guidelines on what throughput can be achieved with different products and settings, and also gives some guidance on how to properly design a robotic leak testing station. Last but not least, the whitepaper concludes with a checklist to use for your robotic leak testing projects.
Robotics is the latest advent in the multicentury trend toward the automation of production. The number of industrial robots, a key component of Industry 4.0, is accelerating. These machines are built by major multinationals and, increasingly, venture-backed startups. As the segment continues to mature, data are coming in that allow founders, investors and policymakers to establish a framework for thinking about these companies. In this special sector report, we take a data-driven approach to emerging topics in the industry, including business models, performance metrics and capitalization trends. Finally, we zoom out and consider how automation affects the labor market. In our view, the social implications of this industry will be massive and will require continuous examination by those driving this technology forward.
Progressive business leaders are capitalizing on new capabilities afforded by cobotics and optimizing efforts on both the business and personnel fronts.
Organizations across the automotive industry are rapidly adopting artificial intelligence (AI) to expand into new markets, optimize workflows, and move ever closer to fully autonomous driving. Across every use case—from connected and autonomous vehicles to mobility services and smart manufacturing—success in AI depends on one thing: your data. This 23-page eBook will help you understand the top use cases for AI in the automotive industry and how to build an effective data pipeline to address key challenges for every use case.
The white paper covers what types of parts can be measured with a Q-Span system, considering part mass and size, features and tolerances, and manufacturing process. The discussion includes:
• A detailed description of how the Q-Span System takes measurements, incorporating robotic pick-and-place
• How to validate measurements.
• How to demonstrate correlation with existing measurement methods.
This paper discusses how machine vision can bring cost and performance benefits to Internet of Things applications, while enabling new machine learning and artificial intelligence capabilities,
AI and machine learning promise to bring new cost and process benefits into inspection systems. Our latest whitepaper explores how smart sensor and imaging devices help overcome bandwidth and networking challenges while providing a first step towards integrating AI in automation systems.
Computer vision coupled with machine learning and/or artificial intelligence gives the robot or cobot increased technical abilities and the opportunity to perform more complex tasks. This data can be communicated rapidly via 5G technology to speed data to enable fast actions to enable safe interactions and reactions to the surroundings and humans working close by. To learn how computer vision is allowing “cobots” to work securely, safely and innovatively with human workers, read this Wind River use case, “Computer Vision and Robotics Expand Industrial Capabilities”.
Robots are nothing new on the factory floor, but personal care robots are an entirely different type of robot, taking their place alongside humans in their daily activities. While industrial robot standards consider the end user to be a trained person, personal care robots can be used around anyone. The environment that these robots can be used in is also much less predictable and the tasks of a personal care robot are not as well defined and repetitive like in the industrial world. As a consequence, the standards for ensuring they do their work safely are different than those for industrial robots, as everyone from a baby to the elderly can now be at risk. In this whitepaper, we’ll describe those standards and what manufacturers and businesses need to be aware if they plan to enter this new, rapidly growing market.
The 2020 guide to supply chain drones offers insights into this emerging trend. With a focus on inventory use-cases, it explains how various stakeholders (from warehouse GMs and continuous improvement managers to CFOs and VPs of operations) can realize business value from drone adoption.