To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands
© 2020 IEEE. This paper tackles the challenge of predicting grasp failures in soft hands before they happen, by combining deep learning with a sensing strategy based on distributed Inertial Measurement Units. We propose two neural architectures, which we implemented and tested with an articulated so...
| Main Authors: | , , , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2022-01-06T19:31:35Z.
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| Subjects: | |
| Online Access: | Get fulltext |