Covariant is an AI-based software company that specializes in products used to teach robots new skills. The company, which is based in Berkeley, California, was founded in 2017 by former OpenAI employees Pieter Abbeel and also Peter Chen, Tianhao Zhang, and Rocky Duan.
A short history of Covariant
Abbeel and his team started Covariant because they wanted to use their AI research to solve problems in real-world scenarios characterized by constant change and infinite variability.
The first problem Covariant tackled was to help robots learn how to pick up objects of various sizes, shapes, colors, and textures. While humans take the ability to grasp different objects for granted, teaching a robot to perform the task was more complex with many failed attempts over the last decade or so.
As a consequence, a robot that could replicate a human worker was extremely desirable among warehouse and logistics companies looking to automate. Based on this need, Covariant developed an AI-based system that trained network robots to pick up various items and improve their picking ability over time.
This was the first general skill the robots learned, but Chen later explained in a TechCrunch interview that their ability to understand 3D space and objects would be useful in a plethora of other applications.
Take a robot that picks watermelon, for example. Once that robot has learned to identify and grasp a watermelon at a packing facility, it can also pick watermelons off the vine at the farm on which they are grown.
Chen also explained a tech trend that was currently occurring at the intersection of AI, software, and mechatronics. While mechatronics had traditionally been distinct from the other two, he noted that modern businesses equated the intersection with reliability because it enabled machines to do “the same thing over and over again” without mistake.
Covariant Brain is the name of the company’s universal AI platform for warehouse picking operations. It reached human-level autonomy in early 2018 and was purchased by leading warehouse integrators such as ABB, Knapp, and Bastian twelve months later.
It was also in 2019 that Covariant Brain won an ABB order-picking competition as the only entrant in a field of 20 robots that solved all 26 complex challenges. Some of the characteristics of Covariant Brain include:
- Fleet learning – Covariant Brain continuously improves because it learns from any connected robot.
- Versatility – the system can pick almost any item or stock-keeping unit (SKU) – irrespective of its packaging, material, size, or shape.
- Ready-to-go – Covariant Brain is also pre-trained on the data from millions of robot picks around the world.
To conclude, let’s take a slightly more detailed look at the company’s four co-founders.
Pieter Abbeel is a Belgian-born computer scientist and electric engineer who is best known for his innovative research in machine learning and robotics.
Abbeel is the current director of the Berkeley Robot Learning Lab and co-director of Berkeley AI Research (BAIR). He was also one of the early employees of OpenAI.
Peter Chen is an American computer scientist and former research scientist at OpenAI who is currently Covariant’s CEO. Whilst at Berkeley under Abbeel, Chen co-created a deep unsupervised learning course.
Tianhao Zhang also worked under Abbeel at Berkeley while he completed his Ph.D. in computer science between 2016 and 2021.
Yan (Rocky) Duan was the third of Abbeel’s Ph.D. students at Berkeley. His thesis focused on meta-learning for control, which involves “policy learning algorithms that can themselves generate algorithms that are highly customized towards a certain domain of tasks.”
Later, Duan became one of OpenAI’s early hires at just 21 years of age.
- Covariant is an AI-based software company that specializes in products used to teach robots new skills. The company was founded in 2017 by former OpenAI employee Pieter Abbeel and also Peter Chen, Tianhao Zhang, and Rocky Duan.
- Covariant Brain is the name of the company’s universal AI platform for warehouse picking operations. It reached human-level autonomy in early 2018 and was purchased by leading warehouse integrators such as ABB, Knapp, and Bastian twelve months later.
- Covariant’s product was developed in response to a trend Chen believes is occurring at the intersection of AI, software, and mechatronics. Businesses looking to automate warehouse operations desire multi-functional machines that can pick reliably and consistently.
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