Perrone Robotics works to advance safety and maneuverability in autonomous vehicles

June 1, 2023
The combination of GPT AI technology and Perrone's General Purpose Robotics Operating System, MAX works to increase maneuverability and a more autonomous standard to the vehicle.

With the goal of advancing the capabilities of its autonomous vehicles, Perrone Robotics, Inc., has integrated General Pre-trained Transformer (GPT) AI technology into its General Purpose Robotics Operating System, MAX. MAX is Perrone Robotics' software platform that forms the basis of the company's vehicle agnostic TONY AV kit. This combination of technologies creates a substantial increase in the number of vehicle maneuvers and expanding the operational design domains for autonomy.

The integration of GPT AI technology with MAX gives the company's TONY-based autonomous vehicles the ability to evaluate a number of possible maneuvers, enabling them to make fully informed decisions in complex and dynamic environments. GPT AI's natural language processing and deep learning capabilities, enhanced perception, reasoning and planning capabilities improve safety, efficiency and adaptability.

"The fusion of GPT AI technology with MAX represents a significant leap forward for autonomous vehicles," said Paul Perrone, CEO of Perrone Robotics. "We are thrilled to witness the exponential expansion in possible operational scenarios and design domains, unlocking endless possibilities for autonomous mobility. This integration not only improves the maneuver generation capacity but also strengthens the overall autonomy of our vehicles, bringing us closer to a future of safe and efficient fully automated transportation."

One outcome of this fusion is the massive acceleration in the creation of autonomous vehicle maneuvers. The combination of these two technologies enhances the vehicle's ability to navigate intricate scenarios with precision and versatility. 

This approach combined with Perrone Robotics' existing patented approach to safety verification of AVs, provides a new way for verifying, both offline and online, the safe operation of fully autonomous vehicle systems.