MIT researchers have developed new algorithms for trajectory planning and control of a tailsitter that take advantage of the maneuverability and versatility of this type of aircraft. Their algorithms can execute challenging maneuvers, like sideways or upside-down flight, and are so computationally efficient that they can plan complex trajectories in real-time. Written by: Adam Zewe Image/video credits: Massachusetts Institute of Technology (MIT) / MIT AERA #drones #VTOL #aircraft #technology #en

4.9K views · 236 reactions | Display by UAV swarm comprising of 25 drones flying coherently with minimal human intervention, showcasing distributive sensing, distributive decision making, reconfigurable path planning & autonomous attack formations. | Next Generation Weapons Technology | Facebook

19K views · 696 reactions | NATO scientists are working on ways to help detect small #UAV or unmanned aerial vehicles, which can pose a security risk and cause major disruption. | NATO | Facebook