Articles

A deep dive into Motional's data annotation platform that combines a universal, modular data contract-driven shell with an action-driven atomic state management system. 

The second part in our series on our data annotation UI. By investing in a scalable shell, a high-performance state engine, a maintainable codebase, and workforce management we've created a platform that not only meets the demanding needs of our ML teams, but is also ready to evolve for future needs.

In autonomous driving, multi-object tracking is a fundamental component that identifies, locates and follows all the relevant objects in the driving scene.  Read how Motional is approaching multi-object tracking with a single, unified model. 

At Motional, we have a rigorous, multifaceted training curriculum, including supervised, unsupervised and reinforcement learning in simulated environments, ensuring our vehicles are prepared for what they will encounter on the roads. Learn more how we train our autonomous driving system from Motional's President and CEO Laura Major. 

Prediction is the ability to accurately reason a driving environment and anticipate the behavior of other road users.  This technical blog covers Motional's approach to prediction, and how scaling up our  behavior prediction network has been a major part of our vision to develop Large Driving Models (LDMs) that support globally scalable autonomous driving. 

Hear from Motional's President and CEO Laura Major on how we're leveraging the latest breakthroughs in embodied AI and foundation models to develop safe autonomous technology that can effectively scale across cities. 

 In this blog post, we introduce Omnitag, an ML-Powered Multimodal Data Mining Framework that transforms the "dark matter" of autonomy into refined, ready-to-use fuel for next-generation AVs.

As President and CEO, Major will oversee Motional’s AI technology development and the launch of its driverless commercial service in 2026. 

Motional is now conducting highway speed testing with our all-electric IONIQ 5 robotaxis. 

Yi Wang, Senior Principal Engineer at Motional, does a deep dive into our approach for scaling our ML pipelines, and demonstrates three example design cases.

Motional's CEO Karl Iagnemma shares an update on changes to Motional's technical and business strategy.

Motional is part of Pittsburgh’s growing high tech ecosystem, which is providing opportunities for talented innovators to plant their roots in the region, instead of moving away. 

Every Motional robotaxi is tracked in real-time in a state-of-the-art Command Center, which gives human agents an unprecedented level of visibility into their performance, allows it to provide remote assistance if needed, and monitor for issues with passengers.  

Motional’s all-electric IONIQ 5 robotaxis are trained to ignore all the lights and sights that make Las Vegas a memorable experience. and instead focus solely on safely navigating through the complex driving environment. 

Motional has developed a Second-Stage Vision Network that uses machine learning principles to add important context to our object classifications -- additional fine-grain classification then flows downstream improving our perception, prediction, planning, and control substacks.