CyRo Robot Brings Baby-Like Intuition to Transform Audi's Factories

CynLr's CyRo robot debuted at the AI Impact Summit, showcasing its ability to intuitively pick up objects it has never seen before within 10-15 seconds. The technology mimics human brain capabilities, allowing it to adapt to unfamiliar items and situations without extensive pre-training. This breakthrough has led to a two-year pilot program with Audi to integrate CyRo into their prototype manufacturing lines. The vision is to enable "Software Defined Factories," where production can shift between models with a simple software update.

Key Points: CynLr's CyRo Robot Debuts, Set to Transform Manufacturing

  • Picks unseen objects in seconds
  • Piloting with Audi manufacturing
  • Learns without prior training
  • Targets semiconductor and car labs
3 min read

"Baby-like intuitiveness": CynLr's CyRo robot debuts at AI Impact Summit, set to transform Audi's manufacturing lines

Bengaluru's CynLr unveils CyRo, an intuitive robot that learns objects on the fly. In a pilot with Audi, it aims to revolutionize car assembly lines.

"A human baby will be able to go and pick an object without knowing what they are - Gokul Namakkal Arulsanmugam"

By Vishu Adhana, New Delhi, February 17

In a quiet corner of the AI Impact Summit pavilion, a robot with two arms and a pair of eyes is performing a task that has long been the "holy grail" of robotics: picking up objects it has never seen before.

Known as CyRo, this stationary robot is designed to imitate the upper torso of a human. It brings a "baby-like intuitiveness" to a field that has traditionally been stiff, over-programmed and limited by data.

CyRo is the brainchild of CynLr (short for Cybernetics Laboratory), a Bengaluru-based fundamental intelligence company co-founded by Nikhil Ramaswamy and Gokul NA. The company is headquartered in Whitefield, Bengaluru. It maintains a global footprint with a design and research centre in Lausanne, Switzerland, and a sales office in the US.

Together, they are building the intuitive aspects of object handling that current AI systems lack, particularly when dealing with transparent, metallic or completely unknown items.

Speaking at the summit, Co-founder Gokul Namakkal Arulsanmugam explained that today's robots struggle with basic tasks, like fitting a bolt into a screw hole without slipping. "That's how limited the robotics technology is," Gokul noted.

He added that this limitation is why mobile phone assembly, automotive lines and semiconductor fab labs still rely heavily on manual labour. In a car with 10,000 parts, most are still hand-assembled because machines cannot adapt to "alien" situations.

"A human baby will be able to go and pick an object without knowing what they are," Gokul said, contrasting human instinct with rigid AI. "Unless and until you build that intuitiveness into a robot, they are not trainable, they are not AI-friendly."

CynLr's approach is to build the capabilities of the human brain into the robotic arm. This allows CyRo to handle objects in unfamiliar situations, such as varying lighting or reflections on water, without prior training.

The magic of CyRo lies in its vision system. Unlike typical AI that requires millions of data points and months of training, CyRo learns on the fly.

When a random object is placed on its tray, the robot doesn't need to recognise the item. It simply understands what is changing in the scene.

"It gets curious about the object in front of it, goes and grabs them," Gokul explained. Within 10 to 15 seconds, the system figures out how to grasp the object. It instantaneously adjusts its force for hard or soft items and senses if a part is slipping.

This breakthrough has already caught the eye of global industry leaders. CynLr is currently engaged in a two-year pilot with Audi to integrate this technology into their prototype manufacturing lines.

They have also signed the world's third-largest semiconductor equipment manufacturer and are in talks with luxury car brands. Beyond automotive and semiconductors, the technology holds massive potential for warehouse automation and research labs where human contamination must be avoided.

While CyRo is currently a stationary platform (joined by its mobile counterpart, Synoid), the underlying technology could eventually transition into surgical robotics. Gokul clarified that a "medical grade" version would require independent investment.

For now, the focus remains on a six-year journey that survived the havoc of COVID-19 to pursue a larger vision: Software Defined Factories.

The ultimate pitch for CynLr is to allow manufacturers to change an entire factory's output, moving from one car model to another or handling multiple platforms on the same line, with a simple software update.

By replacing rigid physical setups with intuitive, adaptive hardware, CynLr is ensuring that the factories of the future are just as curious and capable as the humans they assist.

- ANI

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Reader Comments

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Sarah B
The potential here is staggering. As someone who works in logistics, the warehouse automation angle is particularly exciting. Handling unknown objects without months of training could revolutionize supply chains. Hope the tech is cost-effective for wider adoption.
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Priya S
While the technology sounds promising, I have a respectful criticism. The article mentions it could reduce manual labour. In a country like India with a large workforce, we must ensure such advancements create new, higher-skilled jobs and don't just lead to job losses. The transition needs careful planning.
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Rohit P
Whitefield, Bengaluru to Audi's manufacturing lines! What a journey. This is exactly the kind of product we need - solving a fundamental problem rather than just another app. The fact that they survived COVID and kept going shows real grit. Best of luck to the team!
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Arjun K
The surgical robotics future is the most exciting part. Imagine a surgeon in Delhi operating with such intuitive precision. But as Gokul said, it needs separate investment. Hope Indian hospitals and investors see the potential and back this for medical use too. Jai Hind!
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Gaurav U
"Software Defined Factories" - that's the killer phrase. If they can pull this off, it changes everything for "Make in India". Our factories could become the most agile in the world. Fingers crossed for the Audi pilot! 🤞

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