Prediction 2: Intelligent Features and Analytics
By 2020, 45% of newly installed industrial robots will be equipped with at least one of the intelligent features such as predictive analytics, health condition awareness, self-diagnosis, peer learning, or autonomous cognition.
Industry 4.0 continues to drive digital transformation for the manufacturing industry, which calls for smart manufacturing, smart factory, intelligent equipment, intelligent industrial robots, and cloud-enabled cyber-physical systems. In response to these needs and customer demand, leading industrial robot vendors are racing to develop, incorporate, and integrate artificial intelligence technologies with robotics for next-generation industrial robots.
IDC expects that more industrial robots will be equipped with ubiquitous sensing and connectivity and other intelligent capabilities such as predictive analytics, self-health condition awareness, self-diagnosis, peer learning, and autonomous cognition.
Sensing and connectivity will enable the robots to better understand and be aware of their work
environment and constraints, as well as all entities that the robots need to interact with, including products to be processed, manufacturing equipment, test and inspection devices, human counterparts, and peer robot workers. The intelligent capabilities embedded in the robots, and/or enabled through cloud, will allow the robot to make more intelligent, autonomous decisions relating to its task or environment or itself.
Image courtesy of New Horizon Analytics.