Articles

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.

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. 

Arthur Safira, a Senior Engineering Director at Motional, talks about his background, his growth at Motional, and his mission to make a positive, large-scale societal impact with technology.

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.

When faced with an unusual driving condition, Motional's robotaxis can rely on trained Remote Vehicle Assistance agents to provide guidance on a safe path forward. 

Motional's VP of Commercialization, Akshay Jaising, talks about what the company has learned as it grows its food delivery business and starts delivering Shake Shack orders made through Uber Eats  

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.

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. 

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.  

Motional's latest Technically Speaking blog focuses on Planning, and how using closed-loop training will help refine the modeling AVs use to create a safe path forward quicker.

See all of the miles traveled by Motional's IONIQ 5 robotaxi in 2022.