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Robotics

Why Choose Opteran Mind for Robotics?

Highlights

  • Opteran Mind improves AMR efficiency and adaptability.

  • SAFELOG's robots to minimize infrastructure and costs.

  • Partnership could redefine robot autonomy applications.

Kaan Demirel
Last updated: 22 March, 2024 - 9:03 pm 9:03 pm
Kaan Demirel 1 year ago
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Opteran Mind, a pioneering general-purpose autonomy software, is the key ingredient in SAFELOG GmbH’s strategy to enhance its mobile robots’ productivity and adaptability. The collaboration between Opteran Technologies and SAFELOG is expected to revolutionize the field of autonomous mobile robots (AMRs) by integrating Opteran Mind, which mimics natural brain algorithms. This will allow AMRs to operate more efficiently in warehouse and factory environments, particularly in areas with dynamic lighting, atmospheric dust, and without reliance on GPS.

Contents
What Are the Advantages of Natural Intelligence?How Will This Partnership Impact Productivity?Where Can Opteran Mind Be Applied?

The pursuit of more capable AMRs has been ongoing, with previous advancements focusing on various localization technologies like 2D and 3D lidar, and visual simultaneous localization and mapping (vSLAM). Nevertheless, these technologies have faced challenges, including high failure rates and the need for extensive and costly infrastructure. The partnership between SAFELOG and Opteran is set to overcome these hurdles, reducing commissioning times and operational expenses while offering quick and efficient project activation.

What Are the Advantages of Natural Intelligence?

Opteran Mind’s approach, dubbed ‘natural intelligence,’ is built upon a decade of insect brain research and promises significant cost advantages over traditional methods. With the potential to operate at a fraction of the cost of current systems, it represents a major advancement in navigation efficiency. This technology is expected to make SAFELOG’s mobile robots highly competitive in the global market. The Opteran Mind system has been demonstrated to outperform existing solutions, particularly in the challenging conditions of warehouses, where precise localization and obstacle avoidance are critical.

How Will This Partnership Impact Productivity?

The integration of Opteran Mind with SAFELOG robots aims at decreasing the robot failure rates due to localization errors. The partnership is also set to enhance productivity by eliminating the need for physical infrastructure like magnetic tracks and QR code reflectors, which are currently required for the operation of hundreds of AGVs together in a warehouse setting. By simplifying the setup process, SAFELOG aims to significantly reduce commissioning time and operating costs.

Where Can Opteran Mind Be Applied?

While the current focus is on the warehouse and factory settings, the application of Opteran Mind extends beyond these environments. It can be embedded in both ground-based robots and aerial drones for various applications, including logistics, warehouse distribution, and inspection tasks in industries such as oil and gas, mining, and autonomous vehicles. This versatility underscores the potential for Opteran Mind to become a standard in autonomy software across multiple sectors.

Useful information:

  • Opteran Mind costs significantly less than lidar setups.
  • No additional infrastructure is required for navigation.
  • SAFELOG robots aim to greatly reduce commissioning times.

This collaboration between SAFELOG and Opteran Technologies marks a significant step toward the future of robot autonomy. By harnessing ‘natural intelligence,’ Opteran Mind is not only making SAFELOG’s mobile robots more robust and efficient against existing challenges, but it is also setting a new cost-effective standard for the AMR industry. This partnership could potentially change how industries perceive and integrate robot autonomy, making it more accessible and beneficial for a variety of applications.

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Kaan Demirel
By Kaan Demirel
Kaan Demirel is a 28-year-old gaming enthusiast residing in Ankara. After graduating from the Statistics department of METU, he completed his master's degree in computer science. Kaan has a particular interest in strategy and simulation games and spends his free time playing competitive games and continuously learning new things about technology and game development. He is also interested in electric vehicles and cyber security. He works as a content editor at NewsLinker, where he leverages his passion for technology and gaming.
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