通过动态触觉交互跟踪对象的姿态

IF 0.9 4区 计算机科学 Q4 ROBOTICS International Journal of Humanoid Robotics Pub Date : 2023-10-13 DOI:10.1142/s0219843623500214
Qiguang Lin, Chaojie Yan, Qiang Li, Yonggen Ling, Wangwei Lee, Yu Zheng, Zhaoliang Wan, Bidan Huang, Xiaofeng Liu
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Tracking Object's Pose via Dynamic Tactile Interaction
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来源期刊
International Journal of Humanoid Robotics
International Journal of Humanoid Robotics 工程技术-机器人学
CiteScore
3.50
自引率
13.30%
发文量
29
审稿时长
6 months
期刊介绍: The International Journal of Humanoid Robotics (IJHR) covers all subjects on the mind and body of humanoid robots. It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings. While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics. Such papers need not necessarily demonstrate, in the early stages of research and development, the full potential of new findings on a physical or virtual robot. IJHR welcomes original papers in the following categories: Research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of humanoid robots, or biologically-inspired robots, having multiple functionality related to either physical capabilities (i.e. motion) or mental capabilities (i.e. intelligence) Review articles, which describe, in non-technical terms, the latest in basic theories, principles, and algorithmic solutions Short articles (e.g. feature articles and dialogues), which discuss the latest significant achievements and the future trends in robotics R&D Papers on curriculum development in humanoid robot education Book reviews.
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