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.
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
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.
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: 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.
Minds of Motional: Seungho Lee
Seungho Lee, an Engineering Director, talks about his passion for robotics, his love for his family, and what AAPI Heritage Month means to him.
DriverlessEd Chapter 5: Before Your Ride
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.
Minds of Motional: Mei Ling Cheong
Mei Ling Cheong, a Senior Software Engineer, talks about what lead her to work on autonomous vehicle technology here at Motional, how she decompresses from her busy life in Singapore, and even dishes on an unexpected talent she won an award for in high school.
Careers in High-Gear: Motional managers discuss upward climb
Motional employees share how they grew their careers within the company, from entry-level roles to leading teams building the future of mobility.
Technically Speaking: Closing The Loop To Travel Back And Help AVs Plan Better
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.