Pickle is Physical AI - software enabled hardware built on Generative AI, Machine Vision, and world-class Autonomy.

Generative AI, transformers, and large foundation models have commercially arrived to impact the physical economy enabling robots to do physical work at human scale or better. We call this “Physical AI,” and it is the secret to Pickle’s success.

Pickle takes a synchronized approach to hardware and software development that is built on a foundation of Generative AI and Machine Vision unlocking a proprietary Autonomy stack that share’s its DNA with the world’s leading self-driving cars.

Pickle combines advanced software with reliable industrial robot arms and engineered components to deliver warehouse robots at the forefront of mobile grasping and advanced manipulation that transform warehouse operations starting at the dock door.

PICKLE TECHNOLOGY

Generative AI


Pickle fine-tunes pre-trained models to create reliable high-performing generative AI applications specific to the logistics domain.

This enables Pickle to rapidly create custom models for business-specific use cases based on the knowledge encoded in pre-existing models. This approach delivers real value for customers by providing products that just work on day 1 and get better over time.



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Machine Vision 


Pickle’s machine vision uses the latest AI libraries to see and analyze complex scenes.

We employ multiple cameras, analog-to-digital conversion and digital signal processing in real- time to manage the complexity. The scenes the systems deal with constantly change. With every package picked and placed, the machine vision is presented with a new scene that unlocks multiple pick and path planning options, but the system can’t sit and think too long because the real world requires picking speed. Our vision system is built to accommodate the real work of unloading trailers as fast as possible.

Autonomy 


Pickle’s autonomy is the key to physical AI and shares its DNA with self-driving vehicles.

The autonomy stack combines machine vision with a battery of other sensors to see and sense the freight inside trailers, move the robot vehicle, move the robot arm, grasp packages, manipulate them inside the constrained space of a trailer, and place packages without damaging them. It repeats this sense-move- manipulate coordination 1000’s of times per hour and it must deal with an infinite number of complex scenes.

 
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Mobile Grasping & Manipulation 


Pickle uses advanced robotic gripping technology working in coordination with world-class path planning to pick and place packages at human or better-than-human speed.

The constrained physical space of a trailer requires that packages near the ceiling be grasped from the front of the package. Pickle’s suction-based solution excels at picking and placing large heavy packages no matter the location or freight configuration. Gripping methodologies are ultimately bounded by physics and Pickle’s grasping and manipulation capabilities push the boundaries of physics with every pick.

Industrial Hardware 


Pickle combines commercially available technology with proprietary engineered components to deliver reliable production systems.

Pickle systems perform in non-pristine industrial environments because they leverage proven technology and hardware components. Pickle uses Kuka robot arms because they are built to last in rugged applications. Pickle uses commercially available conveyors because why would a robotics company try to reinvent something like a conveyor – it just doesn’t make sense. Pickle designs and tests components that are not commercially available and engineers the entire system in lock step with software development to ensure the system works at scale reliably. The systems are self-contained from the on-board compute right down to the integrated on-board software-controlled lighting.

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Data Analytics & Management Dashboards 


Pickle robots generate system level data that is used to improve system performance via AI learning. They also capture operational data that warehouse managers and inbound supervisors use to run efficient operations in real-time.

Operational metrics are presented to operators via cloud- native dashboards. Metrics include picks per hour (PPH), container/trailer unload times, and information about the package mix. With Pickle’s robust data capture engine running in the background, customer specific dashboards can be configured to monitor and manage single robots, fleets of robots within a site, and fleets of robots across multiple sites.

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