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Self-Driving Delivery Truck Solutions

Waabi Announces its New Plug-And-Play Autonomous Trucks

— November 16, 2022 — Autos
Waabi is an autonomous car startup by Raquel Urtasun and the company recently announced a new turnkey solution for those who want to transform their vehicles into robot trucks. The new offering boasts the name Waabi Driver and it is meant to create an entirely stacked autonomy solution for semi-truck OEMs. It integrates the vehicles into the manufacturing process.

According to the company itself, it is different because "The Waabi Driver is an end-to-end trainable system that automatically learns from data, speeding up development dramatically and enabling it to learn the complex decision-making needed for operating on the road safely. This contrasts the traditional approach that is brittle, overly complex, and requires painstaking manual code adjustments."

Image Credit: Waabi
Trend Themes
1. Autonomous Trucking Solutions - Companies can develop new autonomous trucking software that can easily integrate with existing semi-trucks to make them self-driving.
2. End-to-end Trainable Systems - New developments in end-to-end trainable systems are allowing companies to create autonomous solutions that learn from data, speeding up development and enabling complex decision-making.
3. Data-driven Automation - Data-driven automation is the future of autonomous vehicles and companies are developing solutions that rely on machine learning to make decisions.
Industry Implications
1. Automotive Manufacturing - Automotive manufacturing companies can adopt the Waabi Driver solution in their manufacturing process to make their semi-trucks self-driving.
2. Transportation and Logistics - The transportation and logistics industry can benefit from autonomous trucking solutions to streamline and automate their fleet management operations.
3. Artificial Intelligence Research and Development - Companies focused on artificial intelligence research and development can develop new autonomous solutions that rely on end-to-end trainable systems and machine learning to drive the future of automation.
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