Technology advances in automated deep-freeze distribution have provided advantages for increased throughput, system uptime and a better ROI. Laser-guided vehicles, playing a pivotal role in this sub-zero technological evolution, have recently taken a quantum leap forward.
Today’s industrial robot market is vast and diverse, featuring a broad range of different machines to fit various applications. One intriguing robotics subset that’s grown in popularity recently is miniature robots.
As manufacturing sectors of all kinds struggle with a growing labor gap, these collaborative grip designs can help streamline facility workflows, reducing the labor necessary to complete tasks while keeping the facility flexible and adaptable.
Autonomous Machine Vision (AMV) is a new approach to quality assurance, designed to be more than automatic, but autonomous, from determining the ideal number of samples the system needs to learn the characteristics of an item.
In this article, let's dive deeper into how it works and what factors you should consider if you are thinking to switch to using the Goods-to-Person fulfillment model.
In the following article we will discuss how one company employs creative design techniques and online configuration tools to provide customized motors and gearheads for their latest robotic arm and gripper – able to fit into a wide variety of applications.
There are concerns regarding the use of fully autonomous security robots which may get in the way of bringing them to market. Whether those concerns are legitimate or not may impact how quickly robotics will be adopted for security purposes.
The turning of the lead screw transfers the motor power to the spring. It presses from the lower belt on the upper belt, supports the upper body and relieves the lumbar spine.
If you have added manufacturing robots to your facility, you are already aware of the advantages they provide and the ROI. Robots do have a downside, however, when it comes to programming—most of the time, they must be offline to be updated or programmed.
Solving the challenge of the last mile using traditional methods, like human teams and traditional automation systems, can require a massive upfront investment of capital and time – and often isn’t enough to gain an edge in an already cutthroat market.
The American Welding Society has predicted a deficit of 400,000 welders by 2024. According to specialist welding technologists K-TIG, a US welder’s skills are in such high demand they can demand a salary of $100,000.
Insurance can generate high costs, with general liability alone costing businesses a median of $500 a year. If robots can reduce premiums and claims, it would make a strong argument in their favor.
In service robotics as well as in academia, flexibly designable, use-case specific controllers are used, resulting in the respective robots to mainly act as actuators with low-level control systems but without individual intelligence.
The robotics industry is undergoing a significant transformation. There is a need to learn from the past, as multiple times, robots failed to behave as expected because of mechanical failure, power disruption, software issues, and environmental factors.
The GPU is constantly evolving, and not just for gaming or 3D graphics for product design, but it is increasingly be tasked with supporting machine learning and AI inference analysis through its parallel processing with the ability of simultaneous multiple computations.