Modeling Uncertainty Helps MIT’s Drone Zip Around Obstacles

This drone keeps track of what it doesn’t know to quickly plan aggressive maneuvers Photo: Jonathan How/MIT CSAILCatch that drone! It’s not too hard to make a drone that can fly very fast, and it’s not too hard to make a drone that can avoid obstacles. Making a drone that can do both at once is much more difficult, but it’s necessary in order for them to be real-world useful. At MIT CSAIL, Pete Florence (in Russ Tedrake’s lab) has developed a new motion planning framework called NanoMap, which uses a sequence of 3D snapshots to allow fast-moving (10 m/s) drones to safely navigate around obstacles even if they’re not entirely sure where they are. Here’s a video of MIT’s drone in action. Don’t worry if you don’t catch all the details, as we’ll take a crack at explaining what’s going on afterwards: I don’t mind telling you, this is Continue reading Modeling Uncertainty Helps MIT’s Drone Zip Around Obstacles

L’inquiétude qui pèse sur la croissance ne refroidit pas l’optimisme des chefs de direction canadiens

Le monde change rapidement et 67 % des chefs de direction canadiens (par rapport à 64 % dans le monde) estiment que les technologies de base, telles que l’intelligence artificielle, la robotique et la blockchain, déstabiliseront leur modèle d’affaires. En revanche, moins d’un chef de direction canadien … Plus de details