XPONENTIAL Shifts to Virtual! Learn More
Excited for next year? Get up-to-date with all things 2023, book your exhibit space for Denver, and stay connected year-round with the newest addition to the AUVSI family, Aville.
It’s that time of the year again: the XPONENTIAL 2023 call for presentations is now open! Join us in Denver as we're drawing up a blueprint to fully operationalize and integrate uncrewed systems.
Click above to watch highlights from XPONENTIAL 2022 in Orlando and click below to take part in XPONENTIAL 2023 in Denver.
From energy to transportation, construction to defense, and medicine to agriculture, XPONENTIAL is the place to share ideas, navigate changing policies, experience new innovations, and strike up new partnerships.
Welcome to your XPONENTIAL Exhibitor Console!
Update Online Company Profile - Company Description - Cross-Reference Categories
Movella | Xsens: superior positioning, orientation, anywhere
Our ability to help businesses run more safely and efficiently is positively impacting people across the globe in everything from autonomous vehicles systems to complex manufacturing tasks.
San Jose, California, April 25, 2022 - Movella™, a global innovator of advanced technologies and products that sense, capture, and analyze movement, is displaying some of its latest inertial sensor technology solutions at the AUVSI XPONENTIAL, the international trade show for uncrewed systems, robotics and autonomy taking place from April 25 to April 28 of 2022 at Orange County Convention Center in Orlando, FL.
This year's show is expected to draw over 18,000 visitors and more than 600 exhibitors. The Movella team will be on hand to demonstrate how their Xsens sensor module product line can be used for various industrial applications.
Exhibiting at booth 2264, the company plans a surprise demo to show how Xsens MTi Vertical Reference Unit (VRU) overcomes the magnetic field disturbances created by the environment, like metal or magnetic objects inside a warehouse. The heading of an MTi with VRU functionality is unreferenced, which means 'relative angles' are computed without any geographic or magnetic reference. The MTi VRUs also support the Active Heading Stabilization (AHS) feature, which provides low-drift unreferenced yaw and therefore provides accurate data to achieve indoor positioning with reliable heading.
Movella has dedicated tremendous efforts in innovation to help businesses run more safely and efficiently, positively impacting people across the globe in everything from autonomous vehicles systems to complex manufacturing tasks.
"We are excited to attend XPONENTIAL 2022 so we can meet with our partners and customers to learn more about their challenges and concerns around automation & mobility applications', said Peter Xie, VP Business Unit Director Automation & Mobility at Movella. "We are also looking forward to showcasing our Xsens MTi VRU functionality and its possibilities."
We invite customers, partners, journalists and prospects to meet us at the tradeshow. You can schedule a meeting with Movella via sales@movella.com.
About Movella
Movella™ is a full-stack hardware, software, and data analytics company created by the consolidation of mCube, Xsens, and Kinduct. Movella is a global innovator of advanced technologies and products that sense, capture, and analyze all aspects of movement. Movella serves the entertainment, sports, health, and industrial automation & mobility markets. Our solutions enable our customers to capitalize on the value of motion by transforming movement data into meaningful and actionable insights. We are creating extraordinary outcomes that move humanity forward by partnering with leading global brands such as Electronic Arts, NBC Universal, Netflix, Daimler, Siemens, and over 500 sports organizations. To learn more, visit https://www.movella.com
The MTi-620 is the highest standard in Vertical Reference Units (VRUs). Its sensors and sensor fusion algorithm measure roll, pitch, and (unreferenced) yaw. As a part of the MTi 600-series, this module is lightweight and robust as well as cost-effective and easy to integrate. You can seamlessly integrate the MTi-620 in your application in two ways: either with the header facing down, directly mounted on a PCB, or as a standalone, with a flat cable for communication. It is also highly flexible, with native CAN support. The MTi-620 VRU comes as an industrial-grade, highly affordable MEMS-based orientation sensor with an integrated sensor fusion algorithm and an easy-to-use Development Kit.
ROS drivers and NVIDIA support is available.
The MTi-680 represents the highest standard in GNSS/INS (Global Navigation Satellite Systems/Inertial Navigation Systems) when connected to an external Real-Time Kinematic GNSS receiver (RTK). The MTi-680 supports RTK accuracy, which means you get access to smooth high frequency (400Hz) centimeter-level accuracy in position even in GNSS-denied environments. As a part of the MTi 600-series, this module is lightweight, robust and cost-effective. You can seamlessly integrate the MTi-680 in your application with the header facing down, directly mounted on a PCB, or as a standalone unit, with a flat cable for communication. It is also highly flexible, with native CAN support. The MTi-680 RTK GNSS/INS comes as an industrial-grade, highly affordable MEMS-based orientation sensor with an integrated sensor fusion algorithm and an easy-to-use Development Kit.
The MTi-680G represents the highest standard in GNSS/INS (Global Navigation Satellite System/Inertial Navigation System) with an internal, integrated Real-Time Kinematic receiver (RTK). With the MTi-680G’s added RTK feature, you can improve your positional data from meter-level to centimeter-level accuracy. You also benefit from sub 0.5 degree orientation estimates, and a rugged, IP68-rated housing at an industry-breaking price point. You can seamlessly integrate the MTi-680G in your application and it is highly flexible, with native CAN support. The MTi-680G RTK GNSS/INS comes as an industrial-grade, highly affordable MEMS-based orientation sensor with an integrated sensor fusion algorithm and an easy-to-use Starter Kit.