会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明申请
    • SURGICAL ROBOTS AND CONTROL METHODS THEREOF
    • 外科手术及其控制方法
    • US20150320514A1
    • 2015-11-12
    • US14706497
    • 2015-05-07
    • Samsung Electronics Co., Ltd.
    • Sung Hwan AHNKyung Shik ROHSuk June YOONHyo Seok HWANG
    • A61B19/00
    • A61B34/20A61B34/30A61B34/35A61B90/37A61B2034/102A61B2034/2048A61B2034/2055A61B2034/2059A61B2034/2065A61B2034/301A61B2090/363A61B2090/364
    • A surgical robot may include: an image information acquisition unit configured to acquire image information of an intra-abdominal environment while the surgical robot performs a surgical operation; and/or a controller configured to recognize positions of an endoscope and a tool, mounted on the surgical robot, based on the acquired image information and kinematic information of links included in the endoscope and the tool. A surgical robot may include: an image information acquisition unit configured to acquire image information of an intra-abdominal environment while the surgical robot performs a surgical operation; an inertia measurement unit configured to acquire inertia measurement information of the surgical robot; and/or a controller configured to recognize positions of an endoscope and a tool, mounted on the surgical robot, based on the acquired image information and the inertia measurement information.
    • 手术机器人可以包括:图像信息获取单元,被配置为在手术机器人执行外科手术时获取腹部环境的图像信息; 和/或控制器,其被配置为基于所获取的图像信息和包括在内窥镜和工具中的链接的运动信息来识别安装在外科手术机器人上的内窥镜和工具的位置。 手术机器人可以包括:图像信息获取单元,被配置为在手术机器人执行外科手术时获取腹部环境的图像信息; 惯性测量单元,被配置为获取所述外科手术机器人的惯性测量信息; 和/或被配置为基于所获取的图像信息和惯性测量信息来识别安装在外科手术机器人上的内窥镜和工具的位置的控制器。
    • 7. 发明申请
    • MOBILE ROBOT HAVING FRICTION COEFFICIENT ESTIMATION FUNCTION AND FRICTION COEFFICIENT ESTIMATION METHOD
    • 具有摩擦系数估计函数和摩擦系数估计方法的移动机器人
    • US20150019103A1
    • 2015-01-15
    • US14187924
    • 2014-02-24
    • Samsung Electronics Co., Ltd.
    • Hyun Do CHOISuk June YOON
    • B60W40/068B60T8/1763
    • B60W40/068B60T8/172B60T8/1763B60T2210/12B60W2550/148Y10S901/01
    • A mobile robot configured to move on a ground. The mobile robot including a contact angle estimation unit estimating contact angles between wheels of the mobile robot and the ground and uncertainties associated with the contact angles, a traction force estimation unit estimating traction forces applied to the wheels and traction force uncertainties, a normal force estimation unit estimating normal forces applied to the wheels and normal force uncertainties, a friction coefficient estimation unit estimating friction coefficients between the wheels and the ground, a friction coefficient uncertainty estimation unit estimating friction coefficient uncertainties, and a controller determining the maximum friction coefficient from among the friction coefficients such that the maximum friction coefficient has an uncertainty less than a threshold and at a point of time when the torque applied to each of the wheels changes from an increasing state to a decreasing state, among the estimated friction coefficients.
    • 配置为在地面上移动的移动机器人。 移动机器人包括估计移动机器人的车轮与地面之间的接触角的接触角估计单元以及与接触角相关的不确定性,牵引力估计单元估计施加到车轮的牵引力和牵引力不确定性,法向力估计 估计施加到车轮的法向力和法向力不确定度的摩擦系数估计单元,估计车轮与地面之间的摩擦系数的摩擦系数估计单元,估计摩擦系数不确定性的摩擦系数不确定度估计单元,以及从摩擦系数估计单元 摩擦系数使得最大摩擦系数具有小于阈值的不确定度,并且在施加到每个车轮的转矩从估计摩擦系数中的增加状态改变到减小状态的时间点。
    • 8. 发明申请
    • IMAGE PROCESSING APPARATUS AND METHOD THEREOF
    • 图像处理装置及其方法
    • US20130243337A1
    • 2013-09-19
    • US13845889
    • 2013-03-18
    • SAMSUNG ELECTRONICS CO., LTD.
    • Hyo Seok HWANGHuang XiangshengDong Soo KIMKyung Shik ROHYoung Bo SHIMSuk June YOONSeung Yong HYUNGWon Jun HWANG
    • G06K9/46
    • G06K9/46G06K9/00201G06K9/00362
    • An image processing apparatus for searching for a feature point by use of a depth image and a method thereof are provided. The image processing apparatus includes an input unit configured to input a three-dimensional image having depth information, a feature point extraction unit configured to obtain a designated point from an object image extracted from the depth image to obtain a feature point that is located at a substantially farthest distance from the designated point, and to obtain other feature points that are located at substantially farthest distances from feature points that are previously obtained as well as the designated point. The apparatus includes a control unit configured to control the input unit and the feature point extraction unit so that time in estimating a structure of the object is reduced, and a recognition result is enhanced.
    • 提供了一种通过使用深度图像来搜索特征点的图像处理装置及其方法。 图像处理装置包括:输入单元,被配置为输入具有深度信息的三维图像;特征点提取单元,被配置为从从深度图像提取的对象图像中获取指定点,以获得位于 距离指定点基本上最远的距离,并且获得位于距先前获得的特征点基本上最远的距离以及指定点的其他特征点。 该装置包括:控制单元,被配置为控制输入单元和特征点提取单元,从而减少估计对象结构的时间,增强识别结果。