利用力矩传感器估算布袋孔径的最佳动作选择

IF 1.4 4区计算机科学 Q4 ROBOTICS

Advanced Robotics Pub Date : 2024-01-11 DOI:10.1080/01691864.2023.2301431

Noritsugu Miyazawa, Daisuke Kato, Yuichi Kobayashi, Kosuke Hara, Dotaro Usui

引用次数: 0

摘要

在这项研究中，我们将粒子滤波器应用于基于力矩传感器观测的可变形物体的状态估计，并提出了基于信息增益的最优动作选择方法...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal action selection to estimate the aperture of bag by force-torque sensor

In this study, we applied Particle Filter to the state estimation of deformable object based on force-torque sensor observations, and proposed information gain-based optimal action selection method...

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来源期刊

Advanced Robotics 工程技术-机器人学

CiteScore

4.10

自引率

20.00%

发文量

102

审稿时长

5.3 months

期刊介绍： Advanced Robotics (AR) is the international journal of the Robotics Society of Japan and has a history of more than twenty years. It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology. Advanced Robotics publishes original research papers and survey papers from all over the world. Issues contain papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots. Advanced Robotics (AR) is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.