Deep learning opens up new fields of application for industrial image processing, which previously could only be solved with great effort or not at all. The new, fundamentally different approach to classical image processing causes new challenges for users.
In response to the growing demand for improved robotic assistance in industry sectors such as retail and light industry, we created MARS, the Mobile Arm Robot System, a robot with more sophisticated autonomous navigation and inspection capabilities.
Robot tank cleaners are creating a new wave of employee safety. They are utilized to complete dangerous tank cleanout while an employee controls every movement of the robot in the safety of their workspace outside the tank.
Time is compelling the need to normalize this disparity and speculation on what AI can do and what AI can’t do without humans in the transformation. At the same time, the human intelligence, wisdom and empathy cannot be overpowered by AI including its ethical usage.
Last-mile delivery is the toughest and the most expensive endeavor in the supply chain. Thanks to the instant gratification of millennials, today’s customer preference is extremely sensitive.
LinePar explores the integration of sophisticated robotic systems equipped with newer iterations like collaborative robots, AGVs, robotic vision, exoskeletons, etc., that are radically changing the ways of automotive manufacturing.
Rapid proliferation of industry 4.0 technologies is likely to drive SCADA market. The market is expected to witness a robust growth rate on account of increasing adoption of automation technologies by manufacturing, utility, and oil & gas industries.
Technology advances have touched almost every industry and process — even those under the seas. Today, experts have robots helping oceans through satellite systems, low-cost sensors, big data and more.
We are working toward the intimate physical integration of humans and robots. One example is robots that assist humans in collaborative physical tasks, like manipulating heavy objects in a warehouse.
Innovative manufacturers should strategically embed three classes of automated systems into their production processes: industrial robots, autonomous robots, and co-bots. These precision tools will allow higher control of processes and thus lead to higher product quality.
How can industrial robots gain new abilities that can increase their operational value while remaining safe and secure in a factory collaborating with humans?
Given the proliferation of warehouses, distribution centers, direct to consumer (D2C) business models, fleets of AMRs, questioning the validity of innovation is worthy of examination.
The concept of full automation could be daunting, especially considering the cost, time and disruption that go into building a brand new factory or warehouse – this just isn’t a viable option for a large proportion of businesses.
The global packaging robots industry is expected to reach $4.65 billion by 2023, registering a CAGR of 9.6% from 2017 to 2023. That’s because of the rise in usage of robot to increase efficiency in packaging.
The global packaging robots industry is expected to reach $4.65 billion by 2023, registering a CAGR of 9.6% from 2017 to 2023. That’s because of the rise in usage of robot to increase efficiency in packaging.