Sparse depth sensing for resource-constrained robots

We consider the case in which a robot has to navigate in an unknown environment, but does not have enough on-board power or payload to carry a traditional depth sensor (e.g., a 3D lidar) and thus can only acquire a few (point-wise) depth measurements. We address the following question: is it possibl...

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Bibliographic Details
Main Authors: Ma, Fangchang (Author), Carlone, Luca (Author), Ayaz, Ulas (Author), Karaman, Sertac (Author)
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: SAGE Publications, 2020-05-08T13:09:22Z.
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