Novel technological swarm and industry 4.0 mold the recent Robot vision research into innovative discovery. To enhance technological paradigm Deep Learning offers remarkable pace to move towards diversified advancement. This research considers the most topical, recent, related and state-of-the-art research reviews that revolve around Robot vision, and shapes the research into Systematic Literature Survey SLR. The SLR considers a combination of more than 100 reviews and empirical studies to perform a critical categorical study and shapes findings against research questions. The research study contribution spans over multiple categories of Robot vision and is tinted along with technical limitations and future research endeavors. Previously multiple research studies have been observed to leverage Robotic vision techniques. Yet, there is none like SLR summarizing recent vision techniques for all targeted Robotic fields. This research SLR could be a precious milestone in Robot vision for each glimpse of Robotics.

新颖的技术群和工业 4.0 将最近的机器人视觉研究塑造为创新发现。为了增强技术范式，深度学习为迈向多元化发展提供了惊人的步伐。这项研究考虑了围绕机器人视觉的最热门、最新、相关和最先进的研究评论，并将研究形成为系统文献调查 SLR。 SLR 结合了 100 多项评论和实证研究来进行关键的分类研究，并根据研究问题形成调查结果。这项研究的贡献涵盖了机器人视觉的多个类别，并根据技术限制和未来的研究工作进行了调整。此前已观察到多项研究利用了机器人视觉技术。然而，没有像 SLR 那样总结了所有目标机器人领域的最新视觉技术。对于机器人技术的每一次一瞥，这款研究型单反相机都可能成为机器人视觉领域的一个宝贵里程碑。