Sereact
Canvas Category Machinery : Industrial Robot : Piece Picking
AI-powered robotics for autonomous warehouses. The mission of Sereact is to boost your economic growth by closing automation gaps in your intralogistics. Our AI software enables machines to perceive their environment and develop solution strategies independently, thus qualifying them to become autonomously acting skilled workers. Sereact’s AI software for autonomous robotics fully automates pick-and-place processes, making them more efficient, reliable and crisis-resistant. Our goal is to optimize your supply chain with minimal integration effort to increase productivity in your warehouse from the first pick while significantly reducing costs.
Assembly Line
Effortless Automation: Pick and Place with Natural Language Control
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New Foundations: Controlling robots with natural language
The integration of Large Language Models (LLMs) in robotics is a rapidly evolving field, with numerous projects pushing the boundaries of what’s possible. These projects are not just isolated experiments, but pieces of a larger puzzle that collectively paint a picture of a future where robots are more intelligent, adaptable and interactive.
SayCan and Code as Policies are two early papers that indicate how an LLM can understand a task in natural language and create actions from it. “Code as Policies” leverages the ability of LLMs to output code and demonstrate how the language model can produce the actual code to perform a robotic action.
Instruct2Act connects the sense-making ability with vision capabilities. This way the robotic application (in this case a simulation) can identify, localize and segment (define object outlines for the best grabbing position) known or unknown objects according to the task. Similarly, NL-MAP connects the “SayCan” project with a mapping step, where the robot scans a room for objects before it can output tasks. The TidyBot research project focuses on a real world application for LLMs and robotics. A team at Princeton university developed a robot that can tidy up a room. It adapts to personal preferences (”socks in 3rd drawer on the right”) and benefits from general language understanding. For example, it knows that trash should go into the trash bin because it was trained on internet-scale language data.
Interactive Language achieves robotic actions from spoken commands by training a neural network on demonstrated moves connected with language and vision data.
While much of the work related to this technology is still in its early stages and limited to lab research, some applications such as PickGPT from logistics company Sereact’s, are starting to show the vast commercial potential.
Sereact Raises $5 Million to Democratize AI Robotics
Sereact is building AI-powered software that fully automates the pick-and-pack process in warehouses and manufacturing. Pick-and-pack contributes approximately 55% of the cost of running a warehouse, at a time when operators are facing the twin pressures of rising labor costs and growing demand driven by e-commerce. However, businesses looking to automate pick-and-pack have historically had to work with inflexible systems, with long training periods, that struggle with changing product ranges and require significant human oversight. Sereact’s solution can be deployed within a single day and result in immediate cost-savings of up to 77% per pick.
Sereact’s latest offering, PickGPT, combines their patented work in computer vision with large language models, the technology underpinning ChatGPT. PickGPT is the first commercially-available robotics transformer that enables robots to understand natural language and perceive their environment with an unprecedented level of intelligence and accuracy. This democratizes access to robotics by allowing users with no technical expertise to instruct and debug the system in a simple chatbot interface.
With the combination of Artificial Intelligence and robotics, Sereact has brought to life a new era of intelligence, precision, and efficiency in logistics. Since its founding in 2021, the company achieved technological milestones such as industry-leading picking speeds of 1500 picks per hour, collision-free picking with any gripper, and fully autonomous object manipulation. Today, Sereact is trusted by partners across the e-commerce, manufacturing, and third-party logistics sectors, serving industry leaders like ZenFulfillment, Daimler Truck, Material Bank, and Schmalz.