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Das explores a variety of environmental robotics solutions to enable data collection at agricultural farms, forests, and coral reefs alike, at unprecedented spatial and temporal scales. Das’ Distributed Robotic Exploration and Mapping Systems Laboratory (DREAMS) has advanced new methodologies for sampling, modeling, and prediction that considers both in-situ and ex-situ labeling of samples. The DREAMS Lab also incorporates remotely sensed data that guides the collection of water, leaf, soil, or air samples for ex-situ analysis to improve prediction accuracy.
Currently, Das is working on various federally-funded projects including: mapping planetary-scale features such as craters and trees, conducting a geomorphological analysis of tectonic fault scarps, and developing OpenUAV (unpiloted aerial vehicles), an open-source cloud-enabled testbed for UAV education, research, and data analysis. OpenUAV is supported by the National Science Foundation.
Currently, Das is working on various federally-funded projects including: mapping planetary-scale features such as craters and trees, conducting a geomorphological analysis of tectonic fault scarps, and developing OpenUAV (unpiloted aerial vehicles), an open-source cloud-enabled testbed for UAV education, research, and data analysis. OpenUAV is supported by the National Science Foundation.
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论文共 69 篇作者统计合作学者相似作者
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Seismicano. 1 (2024)
CoRR (2024)
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arXiv (Cornell University)no. 4 (2023): 225-315
arxiv(2021)
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