Sünderhauf et al., 2018 - Google Patents
The limits and potentials of deep learning for roboticsSünderhauf et al., 2018
View HTML- Document ID
- 16856833769989481876
- Author
- Sünderhauf N
- Brock O
- Scheirer W
- Hadsell R
- Fox D
- Leitner J
- Upcroft B
- Abbeel P
- Burgard W
- Milford M
- Corke P
- Publication year
- Publication venue
- The International journal of robotics research
External Links
Snippet
The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and machine learning communities. In this paper we discuss a number of robotics-specific learning, reasoning, and …
- 238000004805 robotic 0 title abstract description 105
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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- G06K9/62—Methods or arrangements for recognition using electronic means
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