Climate-neutral, highly economical production through AI and digitization
Digitization and AI have become a matter of intense public discourse. However, this leads to more questions than answers. This is where automatica, held from June 27 to 30, 2023, comes in with its digital solutions and components.
Closing the AI Ambition - Execution Gap in Manufacturing
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.
Investing in the Future: Grow Your Own Robot
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.
The Fourth Healthcare Revolution - Digital Technologies Are Driving a New Frontier in Medical Treatment
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.
Precision Motion Control Enables Automation
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),.
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Featured Product
Palladyne™ IQ - Unlocking new frontiers for robotic performance.
Palladyne™ IQ is a closed-loop autonomy software that uses artificial intelligence (AI) and machine learning (ML) technologies to provide human-like reasoning capabilities for industrial robots and collaborative robots (cobots). By enabling robots to perceive variations or changes in the real-world environment and adapt to them dynamically, Palladyne IQ helps make robots smarter today and ready to handle jobs that have historically been too complex to automate.
