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CEVA Waves Banner SemiWiki 800x100 240407
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Using IMUS and SENSOR FUSION to Effectively Navigate Consumer Robotics

Using IMUS and SENSOR FUSION to Effectively Navigate Consumer Robotics
by Daniel Nenni on 01-22-2020 at 10:00 am

Ceva Webinar iRobot SemiWiki

There is a live CEVA webinar coming up that you will NOT want to miss. We have been working with CEVA since 2012 and have posted 130 collaborative blogs. Those blogs have earned 927,901 views thus far and counting. The average blog on SemiWiki.com gets 5,885 views so they are ahead of the game.

One of the reasons CEVA is so popular on SemiWiki is due to the rising interest in commercial semiconductor IP from the electronics systems companies who are now doing their own chips.  Another reason is that CEVA provides some of the best background materials we get on SemiWiki.

Additionally, CEVA is staffed by some of the smartest and most humble semiconductor professionals that we have the fortune to work with. A very good combination for a media portal partner, absolutely.

REGSTRATION

Abstract

Robotics is a field that is growing rapidly. In particular, consumer ground-roving robots are becoming mainstream now that they commonly incorporate more intelligent navigation to operate more autonomously. Inertial measurement units (IMUs) are sensors that are essential for achieving precise navigation. IMUs can be used as a primary sensor for navigation or as a complementary sensor that helps VSLAM systems achieve robust performance. But making use of IMUs requires deep understanding of their idiosyncrasies and modeling to assess their impact. In this webinar, engineers will learn about the challenges when working with IMUs, how IMUs are applied in different robotics applications, and what is necessary to test IMU-based robots to achieve great performance.

Join CEVA’s experts to learn about:

  • Consumer Robot Vacuum Industry Overview
  • Common home robot navigation paradigms
  • Sensor idiosyncrasies and the importance of qualifying sensors
  • How to maintain accuracy over time, temperature, and environment
  • How to create robust algorithms and verify performance
Target Audience

Design, system, and product engineers looking to enhance their understanding of IMUs, sensor fusion, and how they relate to SLAM. Robot OEMs interested in navigation for their ground-roving robots.

Speakers
Charles Pao
Sr. Marketing Specialist, Sensor fusion BU, CEVA

Steve Scheirey
Sr. Director, Software, Sensor fusion BU, CEVA

About CEVA, Inc.
CEVA is the leading licensor of wireless connectivity and smart sensing technologies. We offer Digital Signal Processors, AI processors, wireless platforms and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence, all of which are key enabling technologies for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial and IoT. Our ultra-low-power IPs include comprehensive DSP-based platforms for 5G baseband processing in mobile and infrastructure, advanced imaging and computer vision for any camera-enabled device and audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For sensor fusion, our Hillcrest Labs sensor processing technologies provide a broad range of sensor fusion software and IMU solutions for AR/VR, robotics, remote controls, and IoT. For artificial intelligence, we offer a family of AI processors capable of handling the complete gamut of neural network workloads, on-device. For wireless IoT, we offer the industry’s most widely adopted IPs for Bluetooth (low energy and dual mode), Wi-Fi 4/5/6 (802.11n/ac/ax) and NB-IoT. Visit us at www.ceva-dsp.com and follow us on TwitterYouTube, FacebookLinkedIn and Instagram.

Also Read:

A Bundle of Goodies in Bluetooth 5.2, LE Audio

Glasses and Open Architecture for Computer Vision

Location Indoors: Bluetooth 5.1 Advances Accuracy

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