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Design of Visual Adaptive Control System for Mobile Robot Based on Sliding Mode Speed Tracking

机译:基于滑模速度跟踪的移动机器人视觉自适应控制系统设计

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1 Introduction Compared with other sensors, visual sensors can obtain more abundant environmental information,. With the development of image processing and computer vision technology, more and more visual sensors are applied to the field of robot motion control, which further strengthens the flexibility of a robot and expands the workspace of the robot [1-5]. Literature [6] introduces the latest research results of a visual servo system in detail, where the research of visual servo control system with a monocular camera on mobile robot mainly focuses on improving the robustness of the visual system to image noise, feature error matching, and further improving the real-time and flexibility of motion control. In literature [7], a handoff control algorithm based on the homography matrix is proposed to realize the visual servo stabilization of mobile robots. Mezouar proposed an image-based vision path control scheme for wheeled mobile robots and applied the epipolar geometry or trifocal tensor to vision servo, which is the information feedback based on geometric constraints [7].
机译:1引言与其他传感器相比,视觉传感器可以获得更丰富的环境信息。随着图像处理和计算机视觉技术的发展,越来越多的视觉传感器应用于机器人运动控制领域,这进一步增强了机器人的灵活性,并扩展了机器人的工作空间[1-5]。文献[6]详细介绍了视觉伺服系统的最新研究结果,在移动机器人上具有单眼摄像机的视觉伺服控制系统的研究主要集中在将视觉系统的稳健性提高到图像噪声,功能误差匹配,并进一步提高运动控制的实时和灵活性。在文献[7]中,提出了一种基于同字阵矩阵的切换控制算法,以实现移动机器人的视觉伺服稳定。 Mezouar提出了一种用于轮式移动机器人的基于图像的视觉路径控制方案,并将Enipolar几何或三焦点张量应用于视觉伺服,这是基于几何约束的信息反馈[7]。

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