UW CSE Robotics - Nicholas Roy, "Planning to Fly and Drive Aggressively"
Explore aggressive autonomous flight planning for unmanned aircraft in unknown, cluttered environments through this 59-minute lecture by Nicholas Roy, Associate Professor at MIT. Delve into approximate inference and planning algorithms that enable fast, agile motion for aerial and ground vehicles. Learn about challenges in obstacle detection, rapid decision-making with incomplete data, and innovative approaches to navigation and control. Discover techniques like fast approximation, differential flatness, and RRT* initialization for complex dynamics. Examine strategies for unknown environments, including collision probability learning and generalized kernel estimation. Investigate empirical vs. guaranteed safety, receding-horizon planning, and autonomous RC car experiments. Gain insights from Roy's extensive research in robotics, unmanned aerial vehicles, and artificial intelligence, drawing from his experience as founder of Google's Project Wing.