Researchers develop virtual-reality testing ground for drones
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
New principled approach helps autonomous underwater vehicles explore the ocean in an intelligent, energy-efficient manner.
Today’s autonomous vehicles require hand-labeled 3-D maps, but CSAIL’s MapLite system enables navigation with just GPS and sensors.
Computational photography could solve a problem that bedevils self-driving cars.
Daniel Sperling of the University of California at Davis discusses the major transformations in store for mobility.
CSAIL's NanoMap system enables drones to avoid obstacles while flying at 20 miles per hour, by more deeply integrating sensing and control.
Grad students Alexa Aguilar and Arthur J. Brown receive honor that recognizes outstanding student academic performance, civic contributions, and research.
Reimer is recognized for his work in creating a data-driven understanding of how people engage with vehicle automation.
Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.
Students put their AI software for underwater vehicles to the test on the Charles River.
MIT media studies professor discusses new essay collection analyzing the impact of drones.
Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.
Andorra funds MIT Media Lab technologies that, in turn, help improve the nation’s cities.
MIT Media Lab professor considers the trust gap between people and autonomous vehicles.
Approach may enable robots to move around hospitals, malls, and other areas with heavy foot traffic.