Robots should handle the heavy, repetitive, behind-the-scenes work that wears people down. When that happens, employees can spend more time on service, communication, and the parts of the job that improve the guest experience.
STL partners with LE34, a certified HP SitePrint Service Provider, to precisely position QR codes for AMR navigation with ±2 mm accuracy—cutting project schedules from weeks to days in warehouse automation.
Traditional automated systems were too expensive or too rigid to meet their needs. What they required was a flexible, cost-effective, and operator-friendly palletizing solution that could keep up with changing carton formats and high volumes — without disrupting production.
TiMOTION supports the robotics students at the Technical University Delft by providing them with an industrial electric lifting column to automate container twist lock handling. Robust and stable, our electric linear actuator met all their expectations!
TiMOTION supports the robotics students at the Technical University Delft by providing them with an industrial electric lifting column to automate container twist lock handling. Robust and stable, our electric linear actuator met all their expectations!
For decades, gearbox manufacturing has relied on precision machining and multi-stage assembly. The process is proven, but it comes with familiar trade-offs: long lead times, design constraints, and limited flexibility during early-stage development
By the time robotics and AI are connected within a project, most design choices have already been fixed. Engineers end up modifying code and hardware in parallel to make the system behave consistently.
The cameras at the core of these platforms turn streets, corridors, and structures into the raw visual data that feeds a twin. When the imagery falls short, the entire model loses its purpose.
Multispectral data is valuable for influencing scientific and operational decision-making by providing measurable insights. Compared to standard aerial and satellite imaging, drone-based multispectral surveys are more detailed, time-flexible, and more accurate.
Logistics and warehousing are shifting fast toward cobots, AMRs, and flexible automation. Many of these applications run far from traditional utilities, demand rapid reconfiguration, and are under pressure to cut energy use and emissions.
Manual handling can no longer keep pace without risking fatigue or injury, yet fully robotic systems are often rigid, costly, and hard to adapt. Between these extremes lies a growing opportunity for solutions that blend human expertise with targeted automation.
Looking ahead, the market is projected to expand substantially, with forecasts estimating a USD 45.41 billion valuation by 2035, underpinned by a 9.4 % CAGR from 2026 to 2035.
With a successful AutoModel™ deployment at Korea's largest ecommerce company, OSARO is well-positioned to scale similar solutions across other global e-commerce leaders. This real-world implementation showcases how AI-driven automation can revolutionize fulfillment centers.
As robotics adoption accelerates globally, procurement and engineering teams are being forced to rethink how they manage lead times, component lifecycles, and sourcing risk within increasingly volatile semiconductor markets.
As demand surges across global supply chains, the pressure on 3PLs, manufacturers and e-commerce fulfillment centers has never been greater. Labor shortages, rising injury rates and the physical intensity of warehouse and factory jobs all continue to challenge operations.