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Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX
Based on current trends in artificial intelligence (AI) and machine learning (ML), we provide an overview of novel algorithms intended to address Army-specific needs for increased operational tempo and autonomy for ground robots in unexplored, dynamic, cluttered, contested, and sparse data environments. This paper discusses some of the motivating factors behind US Army Research in AI and ML and provides a survey of a subset of the US Army Research Laboratory's (ARL) Computational anddoi:10.1117/12.2307753 fatcat:mtpmrsiixjfsta6av32kd23lly