Methods and Apparatus for Autonomous Robotic Control

[摘要] Sensory processing of visual, auditory, and other sensor information (e.g., visual imagery, LIDAR, RADAR) is conventionally based on "stovepiped," or isolated processing, with little interactions between modules. Biological systems, on the other hand, fuse multi-sensory information to identify nearby objects of interest more quickly, more efficiently, and with higher signal-to-noise ratios. Similarly, examples of the OpenSense technology disclosed herein use neurally inspired processing to identify and locate objects in a robot's environment. This enables the robot to navigate its environment more quickly and with lower computational and power requirements.

[发布日期] 2018-09-25

[学科分类] 人工智能

[关键词] AUTONOMOUS ROBOTS;OPTICAL TRACKING;MACHINE LEARNING;SCENE ANALYSIS;PATENTS