To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands

Research article (2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), 2020) · cited 16× · AI/ML
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To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands

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To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands. Retrieved May 24, 2026, from https://4ort.xyz/entity/to-grasp-or-not-to-grasp-an-end-to-end-deep-learning-approach-for-predicting-grasping-failures-in-soft-hands
MLA “To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/to-grasp-or-not-to-grasp-an-end-to-end-deep-learning-approach-for-predicting-grasping-failures-in-soft-hands.
BibTeX @misc{4ortxyz_to-grasp-or-not-to-grasp-an-end-to-end-deep-learning-approach-for-predicting-grasping-failures-in-soft-hands_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands}}, year = {2026}, url = {https://4ort.xyz/entity/to-grasp-or-not-to-grasp-an-end-to-end-deep-learning-approach-for-predicting-grasping-failures-in-soft-hands}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands — https://4ort.xyz/entity/to-grasp-or-not-to-grasp-an-end-to-end-deep-learning-approach-for-predicting-grasping-failures-in-soft-hands (retrieved 2026-05-24)

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