Predicting full-arm grasping motions from anticipated tactile responses
Author:
Affiliation:
1. The Cyber-Physical-System Department at Montanuniversität Leoben,Austria
Funder
Deutsche Forschungsgemeinschaft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9999736/9999739/09999743.pdf?arnumber=9999743
Reference23 articles.
1. Tactile Dexterity: Manipulation Primitives with Tactile Feedback
2. Learning inverse dynamics models with contacts
3. Orientation Proba-bilistic Movement Primitives on Riemannian Mani-folds;rozo;Proceedings of the 5th Conference on Robot Learning,2020
4. Probabilistic Movement Primitives;paraschos;Advances in neural information processing systems,2013
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1. M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24
2. Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
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