New-Tech Europe | Aug 2019 | Digital Edition

a fully autonomous vehicle that could traverse a 60 mile course in under six hours. The vehicle from MIT was one of only six to complete the journey. Chin, who led a Media Lab project that developed a retractable electric vehicle in the Smart Cities group, met Karaman when both were PhD candidates in 2012. Almeida began working in the Media Lab as a visiting scholar a year later. As members of the group combined their expertise on both self-driving technology and the way people move around communities, they realized they needed help developing business models around their unique approach to improving transportation. Jenny Larios Berlin was introduced to the founders in 2015 after earning joint degrees from the Department of Urban Studies and Planning and the Sloan School of Management. The team started Optimus Ride in August that year. “The company is really a melting pot of ideas from all of these schools and departments,” Karaman says. “When we met each other, there was the technology angle, but we also realized there’s an important business angle, and there’s also an interesting urban planning/media arts and sciences angle around thinking of the system as a whole. So when we formed the company we thought, not just how can we build fully autonomous vehicles, but also how can we make transportation in general more affordable, sustainable, equitable, accessible, and so on.” Karaman says the company’s approach could only have originated in a highly collaborative environment like MIT, and believes it gives the company a big advantage in the self-driving sector. “I knew how to build autonomous systems, but in interacting with Ryan and Ramiro and Jenny, I really got a better understanding of what the systems would look like, what the smart cities that utilize the systems would look like, what some of the business models would look like,” Karaman says. “That has a feedback on the technology. It allows you to build the right kind of technology very efficiently in order to go to these markets.” First mover advantage Optimus Ride’s vehicles have a suite of cameras, lasers, and sensors similar to what other companies use to help

autonomous vehicles navigate their environments. But Karaman says the company’s key technical differentiators are its machine vision system, which rapidly identifies objects, and its ability to fuse all those data sources together to make predictions, such as where an object is going and when it will get there. The strictly defined areas where the vehicles drive help them learn what Karaman calls the “culture of driving” on different roads. Human drivers might subconsciously take a little longer at certain intersections. Commuters might drive much faster than the speed limit. Those and other location- specific details, like the turn radius of the Silver Line bus in the Seaport, are learned by the system through experience. “A lot of the well-funded autonomous driving projects out there try to capture everything at the same time and tackle every problem,” Karaman says. “But we operate the vehicle in places where it can learn very rapidly. If you go around, say, 10,000 miles in a small community, you end up seeing a certain intersection a hundred or a thousand times, so you learn the culture of driving through that intersection. But if you go 10,000 miles around the country, you’ll only see places once.” Safety drivers are still required to be behind the wheels of autonomous vehicles in the states Optimus Ride operates in, but the founders hope to soon be monitoring fleets with fewer people in a manner similar to an air traffic controller. For now, though, they’re focused on scaling their current model. The contract in Reston, Virginia is part of a strategic partnership with one of the largest real estate managers in the world, Brookfield Properties. Chin says Brookfield owns over 100 locations where Optimus Ride could deploy its system, and the company is aiming to be operating 10 or more fleets by the end of 2020. “Collectively, [the founders] probably have around three decades of experience in building self-driving vehicles, electric vehicles, shared vehicles, mobility transportation, on demand systems, and in looking at how you integrate new transportation systems into cities,” Chin says. “So that’s been the idea of the company: to marry together technical expertise with the right kind of policymaking, the right kind of business models, and to bring autonomy to the world as fast as possible.”

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