Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
With the advances in unmanned aerial system (UAS) there have been increasing research in development of algorithms for tasking multi-robotic systems (MRS) to explore, map, and navigate the environment. Many of these techniques have focused on homogenous MRS – wherein all units of the MRS possess similar characteristics and capabilities. Unmanned ground systems have simultaneously emerged and present new opportunities to leverage diverse sensor arrays and perspectives (aerial versus oblique). However, additional research is required to develop algorithms that can maximize the completion time of a geospatial task, such as mapping an environment after a natural disaster, that also balances the unique information gains from diverse view angles. Advances in tasking algorithms for these heterogenous multi-robotic systems would advance the acquisition of GEOINT in mix-use environments.
Example Approaches:
Develop algorithm or train machine learning approach using a three-dimensional synthetic geospatial environment, such as an urban setting, with virtual agents representing a combination of aerial and ground based autonomous vehicles tasked with mapping the environment in 3D.
Relevance to the Intelligence Community (IC):
Key Words: Robotics, AI, Swarm, Multi-robotic Systems, Autonomous Mapping and Navigation
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