Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.

Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

New repair techniques enable microscale robots to recover flight performance after suffering severe damage to the artificial muscles that power their wings.

Inspired by fireflies, researchers create insect-scale robots that can emit light when they fly, which enables motion tracking and communication.

MIT scientists hope to deploy a fleet of drones to get a better sense of how much carbon the ocean is absorbing, and how much more it can take.

A new fabrication technique produces low-voltage, power-dense artificial muscles that improve the performance of flying microrobots.

The transaction-based communications system ensures robot teams achieve their goal even if some robots are hacked.

New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.