The difference between what the technical datasheets say and what actually happens on the shop floor “On paper it’s precise… but in real production?” One of the most frequent — and most honest — questions production teams ask is this: “Will the robot really be more precise than what we do today?” It’s not a
Modern industry demands flexible, reconfigurable, and fast automation. Factories can no longer rely solely on fixed production lines; they need solutions that adapt in hours, not months. This need has given rise to a powerful combination: refurbished mobile robots integrated with used industrial robotic arms. This approach delivers the agility required by Industry 4.0—without the
It’s a question that rarely appears at the beginning of a project. It usually comes after the first success: The cell works. Cycle times are stable. Quality is consistent. And for the first time, the team trusts the system. Then someone asks: “What if we double production?” It’s not an innocent question — it’s a
For a long time, industrial robots operated in isolated environments, disconnected from the rest of a company’s systems. Today, that reality has changed. The need for remote monitoring, production data collection, predictive maintenance and traceability has led to connecting robots to corporate networks and even cloud platforms. As a result, a relatively new concern has
The truth is that not every industrial task benefits from robotic automation—and even fewer are genuinely compatible with a refurbished robot. The key lies in understanding whether your process meets the fundamental technical conditions that professionals use to evaluate automation projects: aspects such as geometry, repeatability, production volume, accessibility, safety, and the overall stability of
When working with robotic welding systems, one of the most important questions that often arises is what happens when we need spare parts or urgent assistance. In industrial environments, a robotic system is only truly reliable if it can remain operational even when a component fails, wears out, or an unexpected stoppage occurs. For this
For decades, industrial robots relied on a centralized model in which all data was processed by a PLC or a main server. Today, thanks to edge computing, processing moves to the very edge of the system—closer to sensors, cameras, and actuators—allowing real‑time decision‑making without depending on the cloud. In other words, edge computing turns robotic
Some projects never fail: Because they never start! They live in a permanent state of improvement. Every week, the system becomes a little better than before—slightly more precise, a bit more elegant. There’s always something to tweak, something to polish, something that “before we start real production” should be optimized. The robot moves. The simulation
There’s an awkward moment in some automation projects when no one really wants to look too closely at the first batches. The parts come out quickly. The robot never stops. Productivity indicators look great. And yet… something feels off. The defect that used to appear sporadically now shows up with impeccable regularity. There’s no debate:
For years, industrial robotics seemed reserved for large corporations with massive budgets. Today, that reality has changed. Advances in technology, easier programming, and flexible financing have made automation accessible even to manufacturing startups from their earliest stages. According to the International Federation of Robotics (IFR), over 30% of new industrial robot installations in 2024 were
