Cornell researchers develop a novel method employing low-cost, stereo cameras that allow autonomous vehicles to detect 3D objects with a range and accuracy approaching that of LiDAR. A group of Cornell researchers have published a paper demonstrating a new approach to object detection that shows potential to significantly reduce the cost of self-driving vehicle hardware.…
MIT engineers program marine robots to take calculated risks
We know far less about the Earth’s oceans than we do about the surface of the moon or Mars. The sea floor is carved with expansive canyons, towering seamounts, deep trenches, and sheer cliffs, most of which are considered too dangerous or inaccessible for autonomous underwater vehicles (AUVs) to navigate. But what if the reward…
A.I.-Equipped Robots Develop Situational Awareness in Earth’s Most Uncertain Environment
Underwater robots to take on task of inspecting the nation’s aging piers, bridges, pipelines and dams at a time when people’s relationship with water is changing. Waves, winds, currents, wakes from passing boats and eddies swirling around structures make water one of the most complex environments for experienced boat captains, let alone robots. Now,…