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...

Full description

Bibliographic Details
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-11-04T14:42:16Z.
Subjects:
Online Access:Get fulltext