机器人视觉标定
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小鹏汽车机器人视觉标定相关专利公布
Zheng Quan Shi Bao Wang· 2026-01-13 08:21
Core Viewpoint - Guangzhou Xiaopeng Motors Technology Co., Ltd. has recently published a patent for a "robot vision calibration method, device, robot, and storage medium," which aims to enhance the precision of robot vision calibration in dynamic working environments and achieve full automation of the calibration process [1] Group 1: Patent Details - The patent describes a method that involves planning the robot's movement trajectory based on calibration requirements upon receiving a calibration request [1] - The robot is equipped with visual and motion sensors to collect real-time visual data of the target and motion data of the end effector during movement [1] - The method allows for real-time calculation of the external parameters of the visual sensor relative to the end effector using the collected visual and motion data [1] Group 2: Application and Benefits - The proposed solution improves the accuracy of robot vision calibration in dynamic environments, addressing the need for high precision and automation in actual production operations [1]
小鹏汽车公布机器人视觉标定相关专利
Qi Cha Cha· 2026-01-12 06:44
Group 1 - Guangzhou Xiaopeng Motors Technology Co., Ltd. has recently published a patent for "robot vision calibration method, device, robot, and storage medium" [1] - The method involves planning the robot's movement trajectory based on calibration requirements, utilizing visual and motion sensors to collect data in real-time [1] - The proposed solution aims to enhance the precision of robot vision calibration in dynamic working environments and achieve full automation of the calibration process [1] Group 2 - The food and beverage ETF (product code: 515170) tracks the China Securities Index for the segmented food and beverage industry [3] - Over the past five days, the ETF has experienced a change of 1.64% [3] - The current price-to-earnings ratio stands at 20.24 times, with a total share count of 10.19 billion, reflecting a decrease of 3 million shares and a net redemption of 1.659 million yuan [3]