Minds of Motional: Arthur Safira
Arthur Safira, a Senior Engineering Director at Motional, talks about his background, his growth at Motional, and his mission to make a positive, large-scale societal impact with technology.
![The facade of a Las Vegas building is shown covered in signs, lights and video screens](/sites/default/files/2024-01/Screenshot_20231213_113258_Photos.jpg)
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.
![A man holds the hands of two small children while crossing a road](/sites/default/files/2023-12/techspeakssv%20thumb.jpg)
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.
![An illustration showing how a Motional AV analyzes how another vehicle may move next](/sites/default/files/2023-11/TS_Prediction_v2_Thumb.png)
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.
![2023 Motional Consumer Mobility Report](/sites/default/files/2023-10/MCMR_2023_webtile.png)
Motional Releases Fourth Annual Consumer Mobility Report, Looking at the Road to Autonomous Vehicle Adoption, Headwinds, and More
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.
![A thumbnail version of the side of a Motional IONIQ 5 robotaxi](/sites/default/files/2023-09/0039_DSC01624_thumb2.jpg)
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.
![Cars, pedestrians, and other objects along a busy Las Vegas street are surrounded by colored boxes](/sites/default/files/2023-09/boxes%20las%20vegas.jpg)
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.
![Fuzz Test](/sites/default/files/2023-08/fuzzing.jpg)
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.
![Bird's Eye View (BEV)](/sites/default/files/2023-06/BEV_0.jpg)
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.
![An image showing the internal map a robotaxi uses to drive safely](/sites/default/files/2023-05/technicallyspeaking_planning_roadmarkings_thumb.jpg)
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.
![Thumbnail showing closed loop testing](/sites/default/files/2023-02/Screenshot%202023-02-07%20093505.png)
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.
![Motional President & CEO Karl Iagnemma stands in front of two IONIQ 5 robotaxis inside a garage addressing a seated crowd](/sites/default/files/2022-09/20220908_101254.jpg)
Motional Walks Transportation Planners Through Progress on AVs
Motional President and CEO Karl Iagnemma, Chief Technology Officer Laura Major, and others told NACTO attendees about the company’s driverless technology, approach to safety and accessibility, and the IONIQ 5 robotaxi.
![A thumbnail of the IONIQ 5 robotaxi in San Diego harbor](/sites/default/files/2022-09/motionaltesting%20ship_thumb%20%281%29.jpg)
Motional Expands Autonomous Testing to San Diego
By testing our AV technology in multiple, unique cities we can ensure Motional's driverless vehicles can adapt quickly to new driving environments.
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A Path Forward: Using AI to Improve Remote Vehicle Assistance for AVs
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.