Assessing safety risks from industrial robots is important, but knowing where to start can be difficult, but the long-term benefits make it worthwhile.
Deep learning machine vision software essentially allows machines to learn from data representations instead of task-specific algorithms, which could enhance capabilities on the plant floor far beyond what is currently possible.
Robotic automation trends for the future include further IIoT adoption, increased cybersecurity measures, and increased use of collaborative robots on the plant floor.
Think Again: Convergence of cybersecurity efforts from operational and information technology specialists is creating extra interest, encouraging investments, changes in policies and procedures, and training.
Three collaborative robot companies, On Robot, OptoForce, and Perception Robotics, have merged together to become OnRobot, an end-of-arm tooling company with headquarters in Denmark.
The practice of “securing by design” can help companies protect against potential cyber attacks on Industrial Internet of Things (IIoT) products.
Advances in technologies can lead to great things for the manufacturing automation sector, but security has to play a key role as the Industrial Internet of Things (IIoT) and Industrie 4.0 become more important.
The Robotic Industries Association (RIA) announced Esben Østergaard, the chief technology officer (CTO) of Universal Robots, as the recipient of the annual Engelberger Robotics Award for his development of collaborative robots (cobots).
By using an Industrial Internet of Things (IIoT) gateway, or a remotely-controlled PC, critical how-to skill-based training can be made available to engineering students anywhere there’s an Internet connection.
General Michael Hayden, former director of the CIA and the NSA, addressed the advances of technology and cyber attacks at the PAS 2018 Optics conference and said cybersecurity is a new domain and is vulnerable because security is an afterthought.