While most manufacturing companies have begun to explore the next step in automation technology -- artificial intelligence (AI) and machine learning (ML) -- a large gap exists between where they want their organizations to be with AI technology and where they are.
Automation can be seen as a complex area, and it is yet to reach its full potential - the challenge remains for robots to accurately and efficiently 'pick' items - but this shouldn't steer organisations away from making that initial investment.
Healthcare has a long way to go before it reaches the level of digitalisation the manufacturing industry possesses. However, this slower pace doesn't mean digitalisation isn't already beginning to show its benefits in the medical sector.
When digital information transforms into precise physical motion, previously infeasible use cases suddenly become possible. This improvement delivered Industry 4.0 to applications such as advanced robotics, Internet of Things (IoT) and Industrial Internet of Things (IIoT),.
OCTOPUZ makes complex robot programming simple through cutting-edge Offline Robot Programming Software (OLRP) that enables detailed robot operations, complete with machinery and manufacturing components, to be first simulated on a computer, then output for the real world. Within this virtual cell, OCTOPUZ uses built-in machine logic to identify the optimal toolpath trajectory and program the required code for a multitude of industrial tasks. The code is then output for the specific robot brand, for use in the real world.