基于具身视觉感知的机器人操作研究进展

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sicheng Wang, Milutin N. Nikolić, Tin Lun Lam, Qing Gao, Runwei Ding, Tianwei Zhang
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引用次数: 0

摘要

视觉感知在机器人操作中至关重要,特别是在协作和自主机器人系统中。通过高效的视觉系统,机器人可以实时获取和处理环境信息,识别物体,评估空间关系,并做出适应性决策。本文综述了视觉技术在机器人感知领域的最新进展,重点介绍了视觉技术在物体感知、自我感知、人机协作和多机器人协作等领域的应用。通过总结当前的发展状况,分析这些领域仍然存在的挑战和机遇,本文提供了视觉感知与操作机器人集成的全面检查。它进一步激发了未来的研究,并推动了视觉感知在各种机器人领域的应用和发展,使操作机器人能够更好地适应复杂的环境并可靠地完成任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robot Manipulation Based on Embodied Visual Perception: A Survey

Robot Manipulation Based on Embodied Visual Perception: A Survey

Robot Manipulation Based on Embodied Visual Perception: A Survey

Robot Manipulation Based on Embodied Visual Perception: A Survey

Visual perception is critical in robotic operations, particularly in collaborative and autonomous robot systems. Through efficient visual systems, robots can acquire and process environmental information in real-time, recognise objects, assess spatial relationships, and make adaptive decisions. This review aims to provide a comprehensive overview of the latest advancements in the field of vision as applied to robotic perception, focusing primarily on visual applications in the areas of object perception, self-perception, human–robot collaboration, and multi-robot collaboration. By summarising the current state of development and analysing the challenges and opportunities that remain in these areas, this paper offers a thorough examination of the integration of visual perception with operational robotics. It further inspires future research and drives the application and development of visual perception across various robotic domains, enabling operational robots to better adapt to complex environments and reliably accomplish tasks.

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来源期刊
CAAI Transactions on Intelligence Technology
CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
11.00
自引率
3.90%
发文量
134
审稿时长
35 weeks
期刊介绍: CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.
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