MIT + MBRDNA
INNOVATION IN MOTION
ADVANCED EXTERIOR DESIGN
ADVANCED UX DESIGN
POWERTRAIN & eDRIVE
AUTONOMOUS DRIVING
AI AND DIGITAL VEHICLE
TESTING & REGULATORY AFFAIRS
A Tradition of Innovation >
The advances in technology and artificial intelligence lead to more sophisticated system functionalities and automation. The more complex these functionalities may become, the more emphasis has to be placed on intelligible systems and understandable user interactions.
In this talk, we share the vision of “Shaper Autonomy” that enables a new active role for humans and turns robot cars into personalized robot cars. We also discuss how explanations support AI-driven systems, e.g., for transparency of machine learning model predictions.
System trains driverless cars in simulation before they hit the road
Photorealistic simulator made MIT robot racing competition an online experience
Engineers design a device that operates like a brain synapse
What moves people?
To self-drive in the snow, look under the road
A roadmap to a connected world
In this talk, we share the vision of “Shaper Autonomy” that enables a new active role for humans and turns robot cars into personalized robot cars. We also discuss how explanations support AI-driven systems, e.g., for transparency of machine learning model predictions.
The advances in technology and artificial intelligence lead to more sophisticated system functionalities and automation. The more complex these functionalities may become, the more emphasis has to be placed on intelligible systems and understandable user interactions.