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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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.
Integrating servo drives into motion systems forces engineers to make decisions that will ultimately affect the entire machine build. Specification choices include picking between analog and digital servo drives; torque-mode or linear servo operation; PCB-mount or fully enclosed standalone construction; and partially to fully distributed drive topologies.
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.
This white paper addresses the most difficult
challenges facing manufacturers and OEMs
as they compete to reach their production
targets. With their equipment running
at maximum loads, how can they avoid
breakdowns in pneumatic components?
What are the smartest and most economical
approaches available to assure optimal
performance? Recent advances in sensor
technology make it possible to obtain
performance-related data from which more
informed decisions can be made about the
need to replace failing components. This
paper analyzes the different maintenance
strategies for pneumatic actuators and the
role sensors can play in each.
A drone program can drive value to your business by reducing the risk of hazardous inspections, decreasing the costs of inspections, and increasing data fidelity. But how do you present a strong drone business case that garners support from key stakeholders? In this whitepaper, we identify the four criteria for a strong business case and offer guidance on how to present it.
The white paper, titled ‘Adaptive Robots and the Future of Industrial Automation’, outlines the progress from the first industrial robots of the 1990s, ideal for tasks involving repeated trajectories, to that of the collaborative robots (or ‘cobot’), integrated with safety features able to protect humans from hazards in the environment.
The latest generation of PI hexapod controllers with integrated EtherCAT interface now make it very easy for users to integrate hexapods into automation systems without the need for to perform challenging kinematic transformations.
When you’re choosing an encoder for a motion control system, you’ll be
faced with numerous technical terms. The amount of data available can be
overwhelming. Which critical terms should you focus on first, and which
can be deferred? This paper looks at three important concepts that deserve your attention: resolution, accuracy and precision.
Demanding throughput pressures, labor challenges and more. Distribution centers (DCs) need a solution to keep up with explosive e-commerce growth. Are robots the answer? This On The Move webinar explores a new generation of smart, increasingly capable robotics solutions that have emerged as key productivity enablers in the DC.
This Honeywell Intelligrated white paper examines the specific labor, operational and technological challenges on the loading docks of distribution centers (DCs), and introduces a new solution to help deliver the performance modern supply chains require.
As robotics use continues to expand across industries from automotive and electronics to consumer goods and plastics, system designers and integrators have more choices than ever in how these robots are implemented.
Last year, together with INTEAERIAL Solutions, we conducted a Drone Barometer Survey to produce a free whitepaper with perspectives from the drone industry. The paper proved so popular and so many of you who attended the IAS conference asked for it again, that we decided to create a Drone Industry Barometer 2019.