Manufacturers have long relied on human vision for complex picking and assembly processes, but 3D vision systems are beginning to replicate the capability of human vision in robotics.
Although consumers eagerly purchase products made through mass customization, they want those items quickly. That need for speed is one of the main reasons why manufacturers often use robots to achieve the consistent pace required to fill orders efficiently and without errors.
The Toyota Research Institute (TRI) is helping to accelerate the field of soft robotics by sharing the design source files and full build instruction for its innovative domestic robot hands.
New developments in robotics - including smart robotics, collaborative automation, and similar technology - may be essential for processors handling these modern challenges.
The 2020 Honeywell Intelligrated Automation Investment Study revealed that e-commerce (66 per cent) grocery, food and beverage (59 per cent) and logistics (55 per cent) industries are most willing to invest more in automation.
Retrofit machines can bring legacy devices into the Internet of Things. Sensors and digital controls provide valuable information and integrate older machines into new, intelligent factory management systems.
According to a recent report from the World Economic Forum, 85 million jobs could be lost and displaced by new technologies in the next five years. It's no surprise that workers, particularly in manufacturing, worry how these developments will affect their jobs.
The manufacturer of the robot processing cell is the Zimmer Group from Rheinau in Germany. On its way towards Industry 4.0, the Zimmer Group has evolved from a classic component supplier to a system provider and has thus produced an entire robotic cell at once.
With more companies bringing robotics and automation into their facilities, many people understandably wonder if machines will eventually replace their jobs.
Watch this MIT startup's robot unload a trailer blazingly fast. The secret? Keep people in the picture.
Zimmer Group is announcing the introduction of an updated version of its established XYR1000 axis compensation module series.
Deep-learning technique optimizes the arrangement of sensors on a robot's body to ensure efficient operation.
Not every deployment of new robots goes smoothly. There are significant challenges to adopting any new technology, and the complexity of cutting-edge robotics means there is serious room for error when deploying industrial robots
To customize a robot interface, the only thing required is the robot HMI. However, there is a wide array of HMIs that differ from each other based on several factors. The challenge is to determine which is the best HMI.
Let's take a closer look at next-generation, AI-enhanced industrial robots - today's ripe conditions for emerging use cases, their benefits and promised opportunities - to find out why.
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Industrial Robotics - Featured Product
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