LAGR
Real-time vision and learning technologies are at the core of the DARPA Learning Applied to Ground Robotics (LAGR) program to develop autonomous off-road navigation. The goal was to develop sensing and camera based techniques for learning the mobility properties of objects in a new environment and planning and control techniques for using this information to avoid such difficulties as loose sand, bushes, and cul-de-sacs.
SRI developed color and texture based visual odometry techniques for precisely locating the robot as it moved through complex outdoor environments; mapping of features for later runs, and very efficient, low level control techniques so the robots could rapidly traverse planned paths and quickly free itself.
SRI KARTO robot mapping technology provides advanced mapping and localization software. It enables developers of mobile robot solutions to integrate navigation and mapping intelligence into their designs using various robotic platforms and development environments, including Microsoft Robotics Studio, the KARTO development kit offers the flexibility to work with the widest range of mobile robot platforms, simulation environments, operating software and middleware.
Telerobotics Assistance for the Elderly and Disabled
SRI’s multidisciplinary approach to solving major global challenges has prompted researchers to invent robot-based solutions that would help manage assistance and care of the elderly and the disabled.
Robots built on tele-presence technology could provide real-time remote monitoring, physical support, therapeutic advice, and communication between patient and caregiver, and among the patient, family members, and clinical personnel.
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