See, feel, act: hierarchical learning for complex manipulation skills with multisensory fusion

Humans are able to seamlessly integrate tactile and visual stimuli with their intuitions to explore and execute complex manipulation skills. They not only see but also feel their actions. Most current robotic learning methodologies exploit recent progress in computer vision and deep learning to acqu...

Full description

Bibliographic Details
Main Authors: Fazeli, Nima, Oller Oliveras, Miquel, Wu, J., Wu, Z., Tenenbaum, Joshua B, Rodriguez, A.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2020
Online Access:https://hdl.handle.net/1721.1/126656