Annual Review of Control Robotics and Autonomous Systems控制、机器人与自主系统年度综述
Annual Review of Control Robotics and Autonomous Systems(英文缩写 ANNU REV CONTR ROBOT),ISSN 2573-5144,eISSN 2573-5144,中文译名:控制、机器人与自主系统年度综述 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 11.943 | Q1 |
| 2022 | 13.400 | Q1 |
| 2023 | 11.200 | Q1 |
| 2024 | 14.000 | Q1 |
| 2025 | 14.600 | Q1 |
Annual Review of Control Robotics and Autonomous Systems 最新收录文献
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1. Physically Assistive Robots: A Systematic Review of Mobile and Manipulator Robots that Physically Assist People with Disabilities.
PMID:日期:2023-11-21Over 1 billion people in the world are estimated to experience significant disability. These disabilities can impact people's ability to independently conduct activities of daily living, including ambulating, feeding, dressing, taking care of personal hygiene, and more. Mobile and manipulator robots, which can move about human environments and physically interact with objects and people, have the potential to assist people with disabilities in activities of daily living. Although the vision of physically assistive robots has motivated research across sub-fields of robotics for decades, such robots have only recently become feasible in terms of capabilities, safety, and price. More and more research involves end-to-end robotic systems that interact with people with disabilities in real world settings. In this paper, we survey papers about physically assistive robots intended for people with disabilities from top conferences and journals in robotics, human-computer interactions, and accessible technology, to identify the general trends and research methodologies. We then dive into three specific research themes - interaction interfaces, levels of autonomy, and adaptation - and present frameworks for how these themes manifest across physically assistive robot research. We conclude with directions for future research.
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2. Internal Models in Biological Control.
PMID:日期:2019-05-01Rationality principles such as optimal feedback control and Bayesian inference underpin a probabilistic framework that has accounted for a range of empirical phenomena in biological sensorimotor control. To facilitate the optimization of flexible and robust behaviors consistent with these theories, the ability to construct internal models of the motor system and environmental dynamics can be crucial. In the context of this theoretic formalism, we review the computational roles played by such internal models and the neural and behavioral evidence for their implementation in the brain.
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3. Autonomy in Rehabilitation Robotics: An Intersection.
PMID:日期:2018-05Within the field of human rehabilitation, robotic machines are used both to rehabilitate the body and to perform functional tasks. Robotics autonomy able to perceive the external world and reason about high-level control decisions, however, seldom is present in these machines. For functional tasks in particular, autonomy could help to decrease the operational burden on the human and perhaps even to increase access-and this potential only grows as human motor impairments become more severe. There are however serious, and often subtle, considerations to introducing clinically-feasible robotics autonomy to rehabilitation robots and machines. Today the fields of robotics autonomy and rehabilitation robotics are largely separate. The topic of this article is at the intersection of these fields: the introduction of clinically-feasible autonomy solutions to rehabilitation robots, and opportunities for autonomy within the rehabilitation domain.