The biggest change to mobility in a century.

Autonomous vehicles have the potential to change our world. They can provide accessible mobility for more people, efficient transport of goods, and reduce the massive numbers of injuries and fatalities on the road. But for that to happen, autonomous solutions must be commercialization ready, proven safe, and catered to real industry goals. That solution is what Torc offers.

Saving Lives

We provide Level 4 autonomous solutions and integration expertise to industry leaders to make mobility more accessible, efficient, and safe for everyone. Our ultimate goal is to save lives.

Torc was established during a pioneering event in self-driving technology – the DARPA Urban Challenge. Team VictorTango, a collaboration between Virginia Tech and Torc was one of just four teams to complete the challenge on time. The team went on from their 3rd place win with the purpose of refining and commercializing self-driving technologies. We’ve been doing just that for over a decade.

Early adopters: mining + defense

Since our founding in 2007, our autonomous solutions have been developed with industry in mind. Our first partnerships were with early adopters in mining and defense. These industries were searching for ways to keep humans out of danger in hazardous situations.  We’ve partnered with Caterpillar for over a decade to develop autonomous systems that improve safety and efficiency on work sites.

Intelligently saving lives

Defense partners needed innovative ways to combat improvised explosive devices (IEDs), so we developed autonomous vehicles that could detect explosives while troops stayed at a safe distance. In addition to saving lives from IEDs, we also worked with defense partners to develop autonomous off-road systems that could carry equipment and act as scout and reconnaissance assets for troops. By reducing both the risk to troops and the workload they face, these systems have improved readiness and effectiveness drastically. Most importantly, these projects helped us form and refine the core of the IP that drives our systems today.

Build – Test – Learn

Rapid innovation isn’t about moving forward recklessly. It’s about following a build/test/learn cycle to quickly test advancements in the real world. For a decade, we’ve used this concept to continue to refine and expand our self-driving technologies in every environment imaginable, from off-road to highways to congested city streets. We believe in controlling the full software stack, always using raw, unprocessed sensor data and a mix of sensor technologies, including lidar, radar, vision (cameras), and others. Software and hardware needs drive each other in a cyclical fashion as we develop and test new systems. And we’re constantly researching and integrating emerging technologies such as deep and reinforced learning to help make our systems smarter, faster, and more reliable.

Project Asimov

Our capabilities are showcased in our autonomous demonstration vehicles – dubbed Asimov. With these vehicles, we rapidly develop goal-specific use cases for our customers and improve our system.

Conquering edge cases

We actively seek out the most challenging edge cases for self-driving vehicles. Asimov has traveled in over 20 states, and been proven in complex urban environments, on long stretches of highway, and in inclement weather such as snow and heavy rain. We share the road and obey the rules with cyclists and pedestrians. We’re dedicated to building a better driver.

Strong partnerships

We believe the fastest way to getting this life-saving technology implemented is working with strong partnerships including OEMs and mobility service providers.

Our partnership with Transdev takes shared mobility to the next level.  We are providing our self-driving software and integration expertise to Transdev, one of the world’s largest mobility providers in a shared effort to deploy fully autonomous shuttles in France.  This solution will expand current routes and give people a more efficient way to get where they are going.

Jim DudleyOur Work