{"id":"1810.10191","title":"Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks","url":"https://codeofpaper.com/paper/1810.10191","arxiv_url":"https://arxiv.org/abs/1810.10191","published":"2018-10-24","code":"official","best":{"full_name":"stanford-iprl-lab/multimodal_representation","url":"https://github.com/stanford-iprl-lab/multimodal_representation","tier":"official","stars":103,"license":"MIT","framework":null,"language":"Python","last_commit":"2023-01-01T15:19:40"},"most_starred_community":null,"implementations":[{"full_name":"stanford-iprl-lab/multimodal_representation","url":"https://github.com/stanford-iprl-lab/multimodal_representation","tier":"official","stars":103,"license":"MIT","framework":null,"language":"Python","last_commit":"2023-01-01T15:19:40"}],"possible_matches":0}