Articles

As Motional’s robotaxis drive more, our vehicle assistance system will use machine learning principles to become smarter and require less human intervention over time.

Motional engineers and product designers are creating an AV capable of serving dual purposes without losing functionality for either.

Motional is the first AV company to join the food delivery company’s vehicle network.

Chapter 3 of Motional's DriverlessEd series explains how AV companies like Motional are using research to understand what makes a ride comfortable, the types of features passengers expect, ways to make the vehicles accessible, and even how AVs can communicate with people.

Motional researchers are developing an app-based feature that lets riders with disabilities ask their robotaxi for more time while being picked up.

TUV SUD, a renowned international safety assessor, is reviewing Motional's robotaxi safety evaluation process.

Chapter 2 of Motional's DriverlessEd series explains the difference between advanced driver-assistance systems (ADAS) - such as adaptive cruise control and blind spot detection -  and automated vehicles (AVs). 

Chapter 1 of Motional's DriverlessEd series explains what driverless vehicles are, what a robotaxi is, and the rigorous safety practices that go into developing the technology.

Motional is learning how to measure whether a ride in a driverless vehicle feels safe, comfortable, or both.

Motional and Via announce the launch of a new robotaxi service in Las Vegas, which will provide free self-driving rides to passengers in the city's downtown.

Motional uses multi-modal prediction models to more accurately predict and anticipate what agents around our AVs are going to do next.

Our cybersecurity team explains why the Capability Maturity Model provides insight into the cybersecurity process posture of a potential vendor.

Motional to conduct autonomous deliveries for Uber Eats customers in Santa Monica