Keeping Focus: Motional’s Robotaxis Block Out Las Vegas Distractions
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.
Technically Speaking: Second-Stage Vision Adds Needed Context to Unique Scenarios
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.
Smart Choices: How Robotaxis Partner with Remote Vehicle Operators to Work Through Tricky Spots Safely
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 Scales Autonomous Delivery Service; Adds Shake Shack as First National Merchant through Uber Eats
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
Technically Speaking: Improving Multi-task Agent Behavior Prediction
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.
Rethinking the Role of Radars as Robotaxis Mature
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.
DriverlessEd Chapter 7: Outside Your Ride
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.
International Teams Advance AV Research in 2023 nuPlan Challenge
Teams from around the world competed in Motional's 2023 nuPlan Challenge, which helped research into advanced autonomous driving planners.
Technically Speaking: How Continuous Fuzzing Secures Software While Increasing Developer Productivity
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.
Minds of Motional: Pat Karnchanachari
Pat Karnchanachari, a Senior Engineer with Motional and our nuPlan™ Team Lead, talks about why he loves working in the AV space, his favorite project, and how he decompresses.
Minds of Motional: Megan Mears
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.
Minds of Motional: Anne Marie Lewis
Anne Marie Lewis, a Principal Engineer, talks about her passion for automobiles, her fascination with AI, and what National Safety Month means to her.
Technically Speaking: Improving AV Perception Through Transformative Machine Learning
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.
DriverlessEd Chapter 6: During Your IONIQ 5 Robotaxi Ride
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.
Technically Speaking: Using Machine Learning to Map Roadways Faster
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.