Robohub.org
ep.

170

podcast
 

Mobility Transformation Facility with Edwin Olson


by
28 November 2014



share this:



NEW: Full transcript below.

In this episode, Audrow Nash speaks with Edwin Olson, an Associate Professor at the University of Michigan, about the University’s 32-acre testing environment for autonomous cars and the future of driverless vehicles.

The testing environment, called the “Mobility Transformation Facility,” has been designed to provide a simulation of circumstances that an autonomous car would experience driving on real-world streets. The Transformation Facility features “one of everything,” says Edwin Olson, including a four-lane highway, road signs, stoplights, intersections, roundabouts, a railroad crossing, building facades, and even, mechanical cyclists and pedestrians.

Edwin Olson
Edwin OlsonEdwin Olson is an Associate Professor of Computer Science and Engineering and the University of Michigan. He is the director of the APRIL robotics lab, which studies Autonomy, Perception, Robotics, Interfaces, and Learning. His active research projects include applications to explosive ordinance disposal, search and rescue, multi-robot communication, railway safety, and automobile autonomy and safety.

In 2010, he led the winning team in the MAGIC 2010 competition by developing a collective of 14 robots that semi-autonomously explored and mapped a large-scale urban environment. For winning, the U.S. Department of Defense awarded him $750,000. He was named one of Popular Science’s “Brilliant Ten” in September, 2012. In 2013, he was awarded a DARPA Young Faculty Award.

He received a PhD from the Massachusetts Institute of Technology in 2008 for his work in robust robot mapping. During his time as a PhD student, he was a core member of their DARPA Urban Challenge Team which finished the race in 4th place. His work on autonomous cars continues in cooperation with Ford Motor Company on the Next Generation Vehicle project.

 

Links:



tags: , , , , ,


Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast
Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Global robotics technology roadmap

  03 Jun 2026
A multi-regional, cross-domain strategic perspective for Europe, Asia, and the United States.

RoboChem Flex: democratisation of the autonomous synthesis robot

  02 Jun 2026
A versatile, modular design and the option for "human-in-the-loop" analytics.

Robot Talk Episode 158 – Autonomous robot deliveries, with Ahti Heinla

  29 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Ahti Heinla from Starship Technologies about their AI-powered delivery robots that operate independently on streets and pavements.

Light-activated gel could impact wearables, soft robotics, and more

  28 May 2026
In the field of ionotronics, data are transferred through ions, potentially providing a bridge between electronics and biological tissue.

Handle with care: Soft robot gripper picks ripe fruit without bruising

  27 May 2026
Stretchable fiber-optic sensors used to create a soft robot gripper.

Robot Talk Episode 157 – Generating new robot designs, with Josie Hughes

  22 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Josie Hughes from École Polytechnique Fédérale de Lausanne about using AI to develop new designs for robotic manipulators.

Robotics Café brings together autonomous robot practitioners

  20 May 2026
Recently launched series for researchers, students and industry practitioners aims to provide a platform for students to present their work.

Table tennis robot defeats some of world’s best players – why this has major implications for robotics

  18 May 2026
Ace, from Sony AI, is the first robot to beat elite human players in competitive physical sport.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence