Learning Generalizable Feature Fields for Mobile Manipulation

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\addbibresource main.bib Learning Generalizable Feature Fields for Mobile Manipulation Ri-Zhao Qiu ∗1 , Yafei Hu ∗1,2 , Yuchen Song ∗1 , Ge Yang 3 , Yang Fu 1 , Jianglong Ye 1 , Jiteng Mu 1 , Ruihan Yang 1 , Nikolay Atanasov 1 , Sebastian Scherer 2 , Xiaolong Wang 1 ∗ equal contribution 1 UC San Diego 2 CMU 3 MIT https://geff-b1.github.io Abstract An open problem in mobile manipulation is how to represent objects and scenes in a unified manner so that robots can use both for navigation and manipulation. The latter requires capturing intricate geometry while understanding fine-grained semantics

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