Johns Hopkins Researchers Study Autonomous Air Traffic Control for Drones

Ten years from now, we could be in for a new sort of traffic jam. In the near future, posits a new study led by two members of the Johns Hopkins Institute for Assured Autonomy, some 65,000 drones—weighing up to 55 pounds each, most of them programmed to operate without a pilot—will be “taking off, flying, or landing” per hour in what is so far largely uncontrolled lower U.S. airspace. Continue reading →

MIT Drones Navigate Unseen Environments with Liquid Neural Networks

Inspired by the adaptable nature of organic brains, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced a method for robust flight navigation agents to master vision-based fly-to-target tasks in intricate, unfamiliar environments. The liquid neural networks, which can continuously adapt to new data inputs, showed prowess in making reliable decisions in unknown domains like forests, urban landscapes, and environments with added noise, rotation, and occlusion. Continue reading →

UAV Navigation-Grupo Oesía’s Flight Control System is now Integrated with Ultra Motion’s Servos.

UAV Navigation-Grupo Oesía, the Spanish manufacturer of flight control systems for UAS, and Ultra Motion, the reputable North American company, have teamed up to make their systems compatible. The integration between Ultra Motion’s servo technology and UAV Navigation- Grupo Oesía’s autopilots has been accomplished by using a Controller Area Network (CAN) Bus interface with Ultra Motion’s servos. Continue reading →