Articles

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.

First production models of IONIQ 5 robotaxi will be manufactured at HMGICS and deployed as part of Motional’s commercial services in the U.S., starting in 2024.  Hyundai Motor Group and Motional announce all-electric IONIQ 5 robotaxi is one of the first SAE Level 4 autonomous vehicles to be certified under the U.S. Federal Motor Vehicle Safety Standards. 

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.

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. 

Julio Negron, a Senior Creative Designer with Motional, tells us about his favorite project, the best advice he's received in his career,  and what Hispanic Heritage Month means to him.

Motional hires former Hyundai executive to lead company’s corporate strategy towards a driverless future. Sehyuk Park brings more than 25 years of strategy and management experience as Motional prepares to scale commercial services 

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.

Megan Mears started as a Motional intern before transitioning to a full-time role as a Technical Program Coordinator. Megan discusses her work at Motional and passion for using AVs to increase independence and opportunities for individuals with disabilities.

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.