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.

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.

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  

The report takes a deep dive into the public perception and understanding of autonomous vehicle (AV) technology, including the headwinds AV companies face from the public, generational perceptions, and factors driving adoption. 

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.

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.