AI brings efficiency through big data analytics and performance insights on an unprecedented scale. With this power, AI is advancing supply chains for a cleaner, more cost-effective future. Preparing for this future starts with understanding AI implementation in the present.
The system uses rollers to move pallets smoothly, without friction (a byproduct often seen in belt-driven platforms). The conveyor’s open design eliminates concerns of small parts or screws dropping into rollers and causing conveyor damage or jamming.
A company from Baden (region in Germany) claims to revolutionize the coffee-to-go gastronomy with its robotic coffee solution. With its gripper for handling coffee cups, the Zimmer Group is making an important contribution to this.
With more than 70% of labor in warehousing being dedicated to picking and packing, numerous companies are gradually investing in logistics automation. But what happens when the robots must handle an unlimited number of (unknown) stock keeping units?
Let’s take a closer look at next-generation, AI-enhanced industrial robots - today’s ripe conditions for emerging use cases, their benefits and promised opportunities – to find out why.
Energy efficiency is an increasingly prominent concern as electronics adoption and environmental consciousness both rise. Robotics must consume less energy to sustain their growth in the future.
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.
There’s a misconception that industrial robots are reserved for manufacturing giants. But, according to the Robotics Industries Association (RIA), more enterprises with fewer than 100 employees now own up to ten robots — and this is a growing trend.
If we’re learning anything from 5G implementations, it’s that the demand for connectivity is increasing at an exponential rate as wireless communication is becoming more and more essential to our daily lives.
Automation in the supply chain isn’t a new phenomenon, but it carries new urgency now. What was once a competitive edge is now a necessity. Robotics will power the logistics industry this year, and here’s how.
In the "KUKoMo" project, new robot solutions for collaborative assembly activities in small and medium-sized enterprises (SMEs) were tested for their feasibility and transferred to demonstrator solutions for cross-industry applications.
With AI-powered SORT systems, robots do the mundane, repetitive tasks, successfully piece-picking customer orders into completion. Thus, our customers can redeploy employees in more suitable roles throughout the supply chain.
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),.
The COVID-19 crisis has spurred life sciences labs to ramp up output at warp speed – and Stäubli Robotics is helping to meet critical needs.
Bottomless conveyors, also called side-gripping conveyors, provide a simple solution for accessing the underside of a product for a range of applications. These applications include inspection, printing, labeling and edge sealing.