计算机科学
机器视觉
机器人
人工智能
计算机视觉
机器人视觉
机器人控制
移动机器人
人机交互
作者
Along Chen,Xiaolong Chen
标识
DOI:10.1109/acctcs53867.2022.00073
摘要
In researching intelligent robots, the grasping ability of robots is a very important skill, which has received extensive attention from researchers, and this technology has been widely used in industrial production. But in the current industrial environment, the grasping design of this type of robot is not perfect. This is because the industrial environment is complex and dynamic, so there are certain difficulties in identifying and extracting the environment, making it difficult for the traditional robot grasping system to judge the environment. Therefore, this paper Mainly redesigns the robot grasping system, including designing the robot's attitude system and grasping path. On this basis, the relevant algorithms of the local feature recognition of the environment and the robot grasping system are used, which greatly improves the accuracy and efficiency of robot grasping.
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