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Edwin Olson
CEO and Co-Founder at May Mobility
Edwin Olson is a prominent figure in the field of autonomous vehicles and robotics. He is currently an Adjunct Professor of Electrical Engineering and Computer Science at the University of Michigan.7 Olson is also the CEO and Co-Founder of May Mobility, a company he established in January 2017 that develops autonomous vehicles and operates fleets of self-driving shuttles in several U.S. cities.18
Olson's academic background is impressive. He earned his Ph.D., M.Eng., and B.S. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) between 1995 and 2008.1 During his time at MIT, he was part of the team that participated in the 2007 DARPA Urban Challenge for driverless vehicles.8
After completing his Ph.D., Olson joined the University of Michigan as an Assistant Professor in 2008, later becoming an Associate Professor in 2014, and then a full Professor in 2020.1 His research interests include finding ways for robots to sense and understand their environment while coping with uncertainty and ambiguity, as well as multi-autonomous systems.7
Throughout his career, Olson has made significant contributions to the field of robotics and autonomous vehicles:
- He led the winning team in the 2010 MAGIC robotics competition.4
- He worked on autonomous vehicle programs for Ford and Toyota Research Institute.2
- He is known for creating AprilTags, a popular visual fiducial tool used in robotics.5
- He has published numerous influential papers in the field of robotics and autonomous systems.6
Olson has received several accolades for his work, including being named one of Popular Science's "Brilliant 10" in 2012 and receiving a DARPA Young Faculty Award in 2013.5 In 2019, he was named "Entrepreneur of the Year" in the Michigan and Northwest Ohio region by Ernst and Young.2
As of February 2025, Olson continues to balance his roles as an academic and an entrepreneur, leading May Mobility while maintaining his position at the University of Michigan.3
Highlights
Providing transportation services is a business, not a side-hustle.
I think this is the biggest problem with Tesla's plan for individual car owners to have their car autonomously moonlight as robo-taxis: who wants to get into their car in the morning only to find damage or debris from last night's mayhem?
This week, Sydney Lake at Fortune wrote an article on this very topic (see article link in the comments below) including Uber's Dara Khosrowshahi skepticism about the model.
Sydney also included my take from May Mobility's perspective: “It’s not viable. Individual car owners don’t want to be ‘landlords’ of their car. Riders are often hard on cars—they treat them poorly, make messes, slam doors—all because the vehicle is not theirs.”
Achievement Unlocked!
With three companies now having launched driver-out deployments in the United States (Waymo, Cruise, and May Mobility), we've shown that the autonomous driving technology can work. Achievement unlocked!
The next milestone is making the business work. Getting vehicles to operate with billions of dollars of engineering effort, expensive sensors + compute is one thing-- getting vehicles to operate where the revenues justify the R&D costs and vehicle costs is quite another.
Even if the vehicles are amazing, recouping billions of dollars of R&D investment is a challenge. Emerging AI technologies are showing that similar-- if not better-- performance can be achieved with far lower R&D costs. We're not the only ones investing in these emerging methods, but we're the only ones that generate new training data on-the-fly and learn in-situ, structurally addressing the "edge case" problem that vexes virtually all data-driven approaches. (That includes end-to-end learning methods.)
Low R&D and per-vehicle costs make it possible to not only develop the technology but also build a business case around it. We're live in six cities, generating positive margins, allowing us to grow our business in a capital efficient way.
We expect to become the first profitable AV company, and in the process, be able to scale faster than anyone else.
