Adaptive Sampling

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Visible to the public Adaptive Data Collection for Rapid Evaluation of New Plant Varieties

A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability. Current field phenotyping systems rely on exhaustive coverage of a breeding experiment. This works well in relatively small proof-of-concept trials, but will fail as the size of the field gets larger.

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Visible to the public Dynamic Routing and Robotic Coordination for Oceanographic Adaptive Sampling

Abstract:

Networks of autonomous coordinated robots areprototypical examples of cyber-physical systems. Already today and increasingly in the near future, robotic systems will perform a broad range of environmental monitoring and logistic tasks. Aquatic robots will monitor oceanic life and conditions. Teams of vehicles will perform exploration, firefighting and search and rescue operations.