How to setup the Obstacle Detection System for Autonomous Mobile Robots AMRs using VisionAssistant

Описание к видео How to setup the Obstacle Detection System for Autonomous Mobile Robots AMRs using VisionAssistant

In this video, you’ll learn how to set up the Obstacle Detection System (ODS) software, developed for autonomous mobile robots, using the VisionAssistant software. You’ll walk through the calibration process and guided software view with a demo setup as an example. For this demonstration, you’ll need:

• OVP8x1
• O3R22x
• Ethernet cable
• E3R1xx
• Power supply (DN4012)

The ODS software was developed to help autonomous and semi-autonomous vehicles avoid collisions with objects above and below the safety LiDAR plane. The algorithm is optimized to help AMR developers solve the issue of false positives while reducing the need for human intervention. This helps increase the number of missions completed, increasing the ROI of each robot. Learn more about the software, relevant components, and ways to reduce friction by visiting the ifm links below.

⌚ Timestamps: chapters
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Intro: 00:00
Prerequisites: 00:39
Mounting: 01:00
Overview of the demo scene: 02:01
Calibration (intro): 02:14
Calibration (camera): 02:27
Calibration (verification): 04:45
Calibration (IMU): 05:30
ODS (starting the application): 06:12
ODS (occupancy grid): 07:01
ODS (zones): 08:33
Diagnostic: 10:07
Example: 10:33
Additional Information: 11:05
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Missed our latest video? Catch up:

   • How to wire the O3R robotic perceptio...  
   • How to solve above and below the safe...  
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To find more information about our perception platform and software solutions for mobile robotics, visit:
Download VisionAssistant: https://www.ifm.com/us/en/product/OVP...

Obstacle Detection System software from ifm: https://www.ifm.com/us/en/us/industri...

ODS Technical documentation: https://ifm3d.com/latest/ODS/index_od...

Understanding the O3R perception platform: https://www.ifm.com/us/en/us/industri...

Mobile robots: https://www.ifm.com/us/en/us/industri... ================================================
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#howtoifm #obstacledetection #AMR #autonomousrobot #mobilerobots #mobilerobot

AI Disclaimer: ElevenLabs was used to generate the voiceover.

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