Drones are starting to play a major role in several tasks such as search and rescue, interaction with the environment, inspection, patrolling and monitoring. Agile navigation of Micro Aerial Vehicles (MAVs) through unknown environments poses a number of challenges in terms of perception, state estimation, planning, and control. To achieve this, MAVs have to localize themselves and coordinate between each other in unstructured environments. In this talk, I will present some recent research results on high speed and agile flight maneuvers for navigation, transportation, physical environment interaction, and human drone collaboration using a minimal on-board sensor suite composed by a single camera system and IMU. Finally, I will also present some recent achievements that can improve the autonomy of micro and nano platforms recovering the robot’s state just using inertial data and optionally the information from vision sensors. Giuseppe Loianno Asst. Prof of Electrical and Computer Engineering and Mechanical and Aerospace Engineering Tandon School of Engineering New York University 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.