In this report we outline the progress of machine learning methods in the field of soft robotics, specifically in the applications of sensing and control. Dataヾriven methods like machine learning are especially suited to systems with governing functions that are unknown, impractical or impossible to...
This interdisciplinary project integrates the fields of soft robotics, machine learning, sensor technologies, and additive manufacturing. 软机器人是一个新兴领域,专注于开发使用柔软、灵活材料的机器人,这些机器人可以安全地与精密物体和环境互动。与传统的刚性机器人不同,软机器人可以贴合物体的形状,降低损坏风险...
Publishing online monthly from January 2019, Nature Machine Intelligence is interested in the best research from across the fields of artificial intelligence, machine learning and robotics. Publisher Springer Nature Publishing AG Website https://www.nature.com/natmachintell/ Some content from Wikipedia...
Learningbased approaches have proven to be a valuable tool for control, data-processing, and design optimization of nonlinear systems in traditional robotics and other scientific disciplines. However, their usage has been largely limited and unexplored in soft robotics, in spite of their potential ...
Deep learningThe soft robotics field is on the rise. The highly adaptive robots provide the opportunity to bridge the gap between machines and people. However, their elastomeric nature poses significant challenges to the perception, control, and signal processing. Hydrogels...
Closed‐Loop Soft Robot Control Frameworks with Coordinated Policies Based on Reinforcement Learning and Proprioceptive Self‐Sensing REINFORCEMENT learningROBOT control systemsDEGREES of freedomSOFT roboticsHARMONIC motionSTRUCTURAL designRecent advances in soft robots have been achieved by using... H Ju,B ...
Artificial intelligence Machine learning Deep learning Advanced robotics 1. Introduction Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all important technologies in the field of robotics [1]. The term artificial intelligence (AI) describes a machine's capacity to ...
Learning dynamic models for open loop predictive control of soft robotic manipulators Machine LearningRecurrent Neural NetworkTrajectory Optimizationsoft robotThe soft capabilities of biological appendages like the arms of Octopus vulgaris and ... TG Thuruthel,E Falotico,F Renda,... - 《Bioinspiration &...
Machine learning (ML) has revolutionized robotics by enhancing perception, adaptability, decision-making and more, enabling robots to work in complex scenarios beyond the capabilities of traditional approaches. However, the downsizing of robots to micro- and nanoscales introduces new challenges. For exam...
第三个推荐的期刊是 IEEE Transactions on Neural Networks and Learning Systems LetPub上的信息: http://www.letpub.com.cn/index.php?page=journalapp&view=detail&journalid=8837 平均审稿速度网友分享经验:一般,3-8周 小木虫上的评价: ...