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Hyperbot-A Benchmarking Testbed For Acquisition Of Robot-Centric Hyperspectral Scene And In-Hand Object Data
Robots will benefit from identifying novel objects in their environments through multi-modal sensing capabilities. The overarching goal …
Nathaniel Hanson, Tarik Kelestemur, Joseph Berman, Dominik Ritzenhoff, Taşkin Padir
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Hyperbot-A Benchmarking Testbed For Acquisition Of Robot-Centric Hyperspectral Scene And In-Hand Object Data
In-hand object recognition with innervated fiber optic spectroscopy for soft grippers
Previous work in material sensing with soft robots has focused on integrating flexible force sensors or optical waveguides to infer …
Nathaniel Hanson, Hillel Hochsztein, Akshay Vaidya, Joel Willick, Kristen Dorsey, Taşkin Padir
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In-hand object recognition with innervated fiber optic spectroscopy for soft grippers
VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments
Terrain classification is a challenging task for robots operating in unstructured environments. Existing classification methods make …
Nathaniel Hanson, Michael Shaham, Deniz Erdogmus, Taşkin Padir
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VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments