The Indoor mobile robot market is under pressure.
- Margings are shrinking.
- Prices are being pushed down.
- Global competition is intensifying.
- Advanced functionality is now expected as standard
Mobile Robot Manufacturers are asked to reduce vehicle cost, yet their hardware architecture was designed in a different economic context, one where margins were wider and complexity was affordable.
The problem is more structural than technical.
For years, 𝘁𝗵𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗵𝗮𝘀 𝗿𝗲𝗹𝗶𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 “𝟮𝗗 𝘀𝘁𝗮𝗰𝗸” 𝗺𝗼𝗱𝗲𝗹: one LiDAR for navigation, a separate safety scanner, additional sensors for overhang detection, and often a camera system for pallet recognition.
Each component solves a specific task, but together they create a fragmented architecture that 𝗶𝗻𝗳𝗹𝗮𝘁𝗲𝘀 𝘁𝗵𝗲 𝗕𝗶𝗹𝗹 𝗼𝗳 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀, increases integration effort, and introduces hidden licensing and validation costs.
𝗔𝗻𝗱, 𝘄𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻? Sometimes, adding a new sensor is simply impossible.
This approach limits competitiveness. Every extra sensor adds complexity, wiring, configuration time, and potential failure points.
At the same time, indoor environments are becoming more dynamic. Overhanging loads, variable rack layouts, and mixed pallet types demand more perception capability.
Improving performance within a 2D framework often means adding yet another sensor, pushing cost even higher and reinforcing the cycle.
Luckily, technology has evolved and there’s a solution: 𝗢𝗻𝗲 𝘀𝗶𝗻𝗴𝗹𝗲 𝟯𝗗 𝘀𝗲𝗻𝘀𝗼𝗿
Mature, safety-certified 3D LiDAR technology now makes it possible to consolidate navigation, safety coverage, overhang detection, and pallet detection into a single sensor platform.
Instead of stacking hardware to solve isolated problems, OEMs can redesign their architecture around integration and simplicity.
In this webinar, 𝗝𝗼𝘀é 𝗟𝘂𝗶𝘀 𝗣𝗲𝗿𝗮𝗹𝘁𝗮, 𝗖𝗧𝗢 𝗼𝗳 𝗚𝗜𝗠 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀, will demonstrate how achieving ±15 mm accuracy and full safety compliance is now possible with a single 3D LiDAR solution priced under €1,500.
𝗕𝗼𝗻𝘂𝘀! 𝗕𝗼𝗻𝘂𝘀! 𝗕𝗼𝗻𝘂𝘀!
𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻: We show results from our head-to-head testing of 4 of the best selling 3D LiDAR sensors in real-world indoor tasks.
In a market where price pressure is constant, structural simplicity becomes a competitive advantage.
The real question is no longer whether 3D navigation works, but whether continuing to build around legacy 2D constraints still makes economic sense.
Organized by AGV network. See the event page on LinkedIn.
