机器人辅助超声技术的最新进展:结合感知、控制和认知

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Computation and Systems Pub Date : 2020-09-08 DOI:10.1049/ccs.2020.0015
Zhenyu Lu, Miao Li, Andy Annamalai, Chenguang Yang
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引用次数: 4

摘要

超声成像具有成本低、非电离、实用方便等特点,是医学诊断中常用的一种重要技术。由于技术熟练的技术人员的缺乏和医生因诊断多例患者而造成的损伤,机器人辅助超声(RAE)系统在近几十年来得到了广泛的关注。本研究对RAE系统中使用的感知、控制和认知技术领域的最新研究进展进行了深入的研究。本调查介绍了代表性的系统结构、应用和项目以及产品。总结了传统RAE系统面临的挑战和关键技术问题,以及当前人工智能和协作机器人如何克服这些问题。此外,本研究还确定了该领域未来的重要研究方向是认知计算、操作技能转移和商业上可行的系统设计。
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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Recent advances in robot-assisted echography: combining perception, control and cognition

Echography imaging is an important technique frequently used in medical diagnostics due to low-cost, non-ionising characteristics, and pragmatic convenience. Due to the shortage of skilful technicians and injuries of physicians sustained from diagnosing several patients, robot-assisted echography (RAE) system is gaining great attention in recent decades. A thorough study of the recent research advances in the field of perception, control and cognition techniques used in RAE systems is presented in this study. This survey introduces the representative system structure, applications and projects, and products. Challenges and key technological issues faced by the traditional RAE system and how the current artificial intelligence and cobots attempt to overcome these issues are summarised. Furthermore, significant future research directions in this field have been identified by this study as cognitive computing, operational skills transfer, and commercially feasible system design.

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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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