The sensing, planning, control, learning and manipulation systems behind autonomous machines.
01
navigation
Autonomous navigation combines perception, localization, planning and control so a machine can move toward goals with limited direct human input.
02
perception
Computer vision uses computational methods to extract information from images and video.
03
artificial intelligence
Embodied AI studies intelligent agents that perceive and act through a body in a physical or simulated environment.
04
sensing
Lidar measures distance by timing reflected laser light and can build geometric representations of surroundings.
05
artificial intelligence
Machine learning develops models whose behavior is fitted from data rather than specified only through fixed rules.
06
sensing
Radar transmits radio waves and analyzes reflected energy to estimate range, direction and often relative velocity.
07
motion and control
Robotic manipulation concerns sensing, planning and controlling physical contact with objects and tools.
08
perception and state estimation
Sensor fusion combines measurements from multiple sensors to estimate a system or environment more reliably than a single stream alone.
09
navigation
SLAM estimates a machine's location while constructing or updating a map of an initially uncertain environment.