Dexterous Manipulation through Imitation Learning: A Survey
通过模仿学习实现灵巧操作:综述
Shan An, Ziyu Meng, Chao Tang, Yuning Zhou, Tengyu Liu, Fangqiang Ding, Shufang Zhang, Yao Mu, Ran Song, Wei Zhang, Zeng-Guang Hou, Hong Zhang
机构
*
Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System(天津智能集群技术与系统重点实验室)
;
School of Electrical and Information Engineering(电气与信息工程学院)
;
Shandong University(山东大学)
;
State Key Laboratory of General Artificial Intelligence(通用人工智能国家重点实验室)
;
Division of Robotics, Perception and Learning(机器人、感知与学习 division)
;
School of Control Science and Engineering(控制科学与工程学院)
;
Massachusetts Institute of Technology(麻省理工学院)
;
School of Computer Science(计算机科学学院)
;
State Key Laboratory of Multimodal Artificial Intelligence Systems(多模态人工智能系统国家重点实验室)
;
Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所)
;
School of Artificial Intelligence(人工智能学院)
Primer C-VAE: An interpretable deep learning primer design method to detect emerging virus variants
Primer C-VAE:一种可解释的深度学习入门设计方法用于检测新兴病毒变种
Hanyu Wang, Emmanuel K. Tsinda, Anthony J. Dunn, Francis Chikweto, Alain B. Zemkoho
机构
*
School of Mathematics and Statistics, University of St Andrews(数学与统计学学院,圣安德鲁大学)
;
Center for Biomedical Innovation, MIT(生物医学创新中心,麻省理工学院)
;
Department of Virology, Tohoku University Graduate School of Medicine(病毒学部,东北大学医学研究生院)
;
School of Mathematical Sciences, University of Southampton(数学科学学院,南安普顿大学)
;
Department of Biomedical Engineering, Tohoku University(生物医学工程部,东北大学)
AI总结
Primer C-VAE通过深度学习设计可解释的引物对,用于检测新兴病毒变种,实现高准确率和适用性。