The Estimation, Decision and Planning Lab in the Department of Aerospace Engineering at Texas A&M University won a 2017 TechConnect National Innovation Award for the newly developed technology “A Method for Highly Accurate Long-Term Localization and Navigation Using On-Board Sensors.”
This innovation allows a system, such as a vehicle or robot, to navigate autonomously in previously unknown environments with less than a one-meter position error for 100 kilometers of motion without relying on GPS or any pre-built maps. The applications of this technology are immense and include military and commercial use, such as self-driving cars.
The TechConnect National Innovation Award selects the top early-stage innovations from around the world through an industry-review process of the top 20 percent of annually submitted technologies into the TechConnect National Innovation Summit. Rankings are based on the potential positive impact the submitted technology will have on a specific industry sector.
Saurav Agarwal, a graduate student in aerospace engineering, and Dr. Suman Chakravorty, associate professor of aerospace engineering, will present this technology at the startup pitch competition at the TechConnect World Innovation Conference & Expo in Washington, D.C. May 14-17, to engage commercial partners to help bring this technology to market.
The conference is an annual event designed to accelerate the commercialization of innovations out of the lab and into industry. The technical program spotlights applications focused innovations, materials and devices emerging from industrial, government and academic laboratories worldwide. To learn more, visit: http://techconnectworld.com/World2017/.
For more information on the Estimation, Decision and Planning Lab, visit http://edplab.org.