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The R-CTA program was organized around several research thrusts, including the following:<ref name=":0" />
* Semantic perception – perception that understands a basic set of object types important to robotics, moving beyond just what is or is not an obstacle.
* Adaptive behavior generation – combining previously developed robotic navigation planning together with semantic understanding in a cognitive architecture that supports context.▼
* Meta-cognition – enabling the use of intuitive, human-level commands for soldier-robot communication, and creating shared mental models and situation awareness.▼
▲Adaptive behavior generation – combining previously developed robotic navigation planning together with semantic understanding in a cognitive architecture that supports context.
* Machine learning – leveraging new learning techniques to achieve better and faster training of perception and planning algorithms.▼
* Hybrid cognitive/metric world model – spanning the range from traditional metric data to associated semantic understanding to support a cognitive level of reasoning. ▼
▲Meta-cognition – enabling the use of intuitive, human-level commands for soldier-robot communication, and creating shared mental models and situation awareness.
▲Machine learning – leveraging new learning techniques to achieve better and faster training of perception and planning algorithms.
▲Hybrid cognitive/metric world model – spanning the range from traditional metric data to associated semantic understanding to support a cognitive level of reasoning.
== Participants ==
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