Robotic solutions provider Geek+ has joined forces with technology giant Intel to reveal a “world first” vision-only robot solution.
Equipped with Intel Visual Navigation Modules, the solution marks a significant advancement in the digital transformation of the logistics industry.
It uses technology to enhance efficiency in complex logistics scenarios by leveraging Intel’s RealSense camera, which enables depth vision perception that allows for precise positioning, navigation, and obstacle avoidance.
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This capability helps enterprises effectively manage diverse logistical challenges, improving both operational efficiency and accuracy.
The Intel Visual Navigation Module features an all-in-one design for the RealSense camera, performing depth calculations internally.
This design reduces power consumption and enhances compatibility across various platforms.
By combining the camera with a dedicated visual processor, the system accelerates machine learning processes and shortens the deployment cycle for automation solutions.
With the Intel RealSense camera, the robot can observe and interact with its environment, obtaining highly accurate depth data.
In their partnership, Geek+ and Intel are driving algorithmic innovations to enhance logistics capabilities. The V-SLAM positioning algorithm integrates multi-sensor data to create detailed composite maps, ensuring reliable positioning in dynamic environments.
The composite detection network enhances accuracy while minimising false detection rates. Additionally, the robot’s capabilities have been refined, which allows it to navigate alongside employees using advanced modules for personnel detection and visual target tracking.
Solomon Lee, vice president of product at Geek+, said, “The vision-only robot solution, developed in collaboration with Intel, effectively leverages the depth vision perception of the Intel RealSense camera.
“Together with the deep algorithmic innovations from both sides, it results in a boost in business growth and efficiency for customers, driving the digital and intelligent upgrade of smart logistics.”
Mark Yahiro, vice president at Intel, added: “Highly accurate and consistent depth vision data is critical for AMR to achieve environmental perception, significantly influencing its performance in positioning, navigation, and obstacle avoidance.
“Through collaboration with Geek+, we are driving AMR innovations based on depth vision data, enabling logistics robots to deliver highly stable and accurate transport services in complex environments, thereby empowering agile, digital, and intelligent supply chains.”
Innovations and achievements in machine vision will be highlighted and celebrated at the second annual Robotics & Automation Awards on 06 November 2024 at De Vere Grand Connaught Rooms in London. Visit www.roboticsandautomationawards.co.uk to learn more about this unmissable industry event – and to book your table!
