Articles

At Motional, we are pioneering the next evolution of AV technology by transitioning from traditional rule-based planning systems to an end-to-end machine learning (ML) powered motion planning system. This shift allows us to address some of the key limitations of legacy AV architectures and embrace a future where AVs rapidly learn, adapt, and improve with every mile driven.

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 President and Chief Executive Officer (CEO) Karl Iagnemma will transition to the role of Senior Strategy Advisor. Motional’s Chief Technology Officer (CTO) Laura Major will take on an expanded leadership role as interim CEO and CTO.

By rethinking system architecture and using machine learning to analyze and process previously discarded low-level radar data, Motional is working on dramatically enhancing radar performance to the point that it rivals the point clouds produced by lidar. 

Motional's PredictNet approach to prediction uses machine learning principles and a multi-task learning architecture to more accurately predict the future behaviors of surrounding agents.

As AV technology advances, and the global supply chain responds to industry demand, radars could emerge as the central sensors for robotaxis, says Motional's Chief Technology Officer.

When developing autonomous vehicles, nothing is more important than safety. The safety of those driving, walking, or biking near our robotaxis is just as important as the safety of the person inside the vehicle. Learn how our vehicles respond to their environment in Chapter 7 of #DriverlessEd.

Teams from around the world competed in Motional's 2023 nuPlan Challenge, which helped research into advanced autonomous driving planners.

Motional uses continuous fuzzing to make sure that our software is as safe and secure as possible before deploying it – or if there is a glitch, that the system can handle it gracefully.

Transformer Neural Networks are receiving increased attention about how they can improve AI-driven technology. Our latest Technically Speaking blog explores how Motional has been using Transformers to make our perception function better. 

Chapter 6 of Motional's DriverlessEd series explores what it's like to ride in a robotaxi, and how Motional's team has designed it to feel familiar even to a first-time passenger. 

Motional's latest Technically Speaking blog explains how we're using machine learning to speed up the process of mapping public roadways prior to launching commercial passenger service. 

Ensuring passenger safety is a key point in operating a robotaxi. This is why every vehicle is checked over thoroughly - inside and out -- everyday. Chapter 5 of DriverlessEd explains how a robotaxi is prepared for a day of passenger service.

Motional employees share how they grew their careers within the company, from entry-level roles to leading teams building the future of mobility.