CEVA Unveils Software Solution to Improve Indoor AMR Pathway Accuracy
Published2021.03.25 11:39A solution to improve the path accuracy of indoor robots
Flexibility without dependencies on specific sensors or processors
CEVA announced on the 25th the launch of its precision navigation software solution, Hillcrest Labs MotionEngine™ Scout.
Global market research firm ABI Research forecasts that the indoor autonomous mobile robot (AMR) market will grow at an average annual rate of 20% over the next five years. The new solution will be used in intelligent navigation systems for indoor robots, such as commercial robot vacuum cleaners and AMRs.
MotionEngine Scout can accurately determine its location without expensive cameras or LiDAR. It integrates measurements from the robot's optical flow sensor, wheel encoders, and inertial measurement unit (IMU) sensors, using this data to address individual sensor errors and improve navigation path accuracy by five times on vinyl, tile, and carpet.
Additionally, it has no dependency on specific sensors or processors. It supports commercial IMU sensors from various vendors, including STMicroelectronics, Bosch Sensortec, and TDK InvenSense. For the optical flow sensor, the 'PAA5101' sensor from PixArt is provided as standard.
An integrated software package is also available for robotics OEMs, processing all optical flow sensor, wheel encoder, and IMU sensor data. This provides robot pose and integrated sensor output, including position and orientation in 3D space, simplifying and accelerating timelines.
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