Sirtesh Karaman

Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars

Sertac Karaman, Sirtesh Karaman, Lex

MIT AeroAstro professor Sirtesh Karaman discusses his pioneering RRT* algorithm, which guarantees optimal trajectory convergence for autonomous vehicles, and reflects on MIT's 2007 DARPA Urban Challenge success where his team developed software now standard in the automotive industry. Karaman outlines current research into ultra-agile robotics and compressed high-dimensional control systems, while detailing the commercial launch of Optimus Ride and projecting the near-term viability of vision-only autonomy and vehicle-to-infrastructure communication networks. The presentation concludes by analyzing how formal optimization and deep learning will transform logistics costs and overcome non-technical regulatory barriers in the evolving landscape of self-driving technology.