Lockheed Martin Robotics Seminar: Dr Sawyer Buckminster Fuller "Toward autonomous flying insect-sized robots: recent results in fabrication, design, power systems, control, and sensing"

Insect-sized aerial robots will be deployed where their small size, low cost, and maneuverability give them an advantage over larger robots. For example, they could deploy in swarms to follow airborne plumes to locate gas leaks in dense piping infrastructure, or operate as assistants for humans without impact hazard. However, insect scale imposes miniaturization challenges everywhere from how the robot is actuated to limits to the amount of computation that can be performed for control. My work is focused on taking inspiration from insect sensory-motor control systems, which evolved under similar constraints. Using minimal resources, they are able perform tasks that remain at the forefront of robotic capabilities, such as landing on a flower buffeted by turbulent wind or dodging a flyswatter. I will present recent research in my lab that aims to build physical instantiations of such robots that are the size of bumblebees. This requires solving a number of open challenges, such as how to provide a sufficiently small power source, how to actuate flapping wings, and how to integrate tiny sensor systems. Recent results include the first integrated high-voltage electronics circuitry to fly, rapid flight maneuvers using a tail-like appendage, and a new design with four wings for better control. The results of this work extend beyond insect robots to anywhere there is a need for miniaturized and power-efficient sensing, power-efficient control systems, and more dynamic and life-like robots. Sawyer Buckminster Fuller Assistant Professor Department of Mechanical Engineering University of Washington To ask the speaker a question, click on the speech bubble icon in the lower right hand corner and type in the question in the window that pops up. The question will be sent directly to us. Please note that there is a little bit of a delay when streaming. What participants see is a few minutes behind what is happening at our end. The longer we stream, the greater the delay may become so the questions submitted at the very end may not reach us in time. The best way to get the questions answered is to send them as they come up.