Velodyne and Mov.AI look to empower warehouse robotics

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Lidar developer Velodyne and autonomous vehicle developer Mov.AI say they are collaborating on a project to provide robot manufacturers with enterprise-grade automation solutions, including mapping, navigation, obstacle avoidance and risk avoidance.

The partners claim that the Mov.AI Robotics Engine Platform, combined with Velodyne’s lidar sensors, will address the growing demand for automation in dynamic collaborative environments such as e-commerce, logistics, manufacturing and hospitals.

Mov.AI states that its Robotics Engine Platform helps AMR (autonomous mobile robot) manufacturers quickly develop and deploy robots that can operate in dynamic environments where humans, manual machines and robots work side by side. It also provides developers with tools including a visual integrated development environment (IDE), off-the-shelf algorithms and integrations, fleet management, flexible interfaces with warehouse environments such as ERP and WMS, and cybersecurity compliance. The solution is claimed to provide ±2cm accuracy for a 65% dynamic environment.

“Adding Mov.AI and Velodyne technologies to Tugbot.ai provided our robot with an off-the-shelf, high-accuracy navigation and localization solution for the dynamic environments where we are deploying our AMRs,” said Fernando Freitas, CEO at RoboSavvy, which manufactures the AMR Tugtbot.ai. “Using lidar-based SLAM [simultaneous localization and mapping]enables TUGBOT.ai to navigate safely among people and other vehicles with accurate and consistent performance.”

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Lawrence has been covering engineering subjects – with a focus on motorsport technology – since 2007 and has edited and contributed to a variety of international titles. Currently, he is responsible for content across UKI Media & Events' portfolio of websites while also writing for the company's print titles.

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