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    LAW ENFORCEMENT ROBOT
    62.
    发明申请
    LAW ENFORCEMENT ROBOT 审中-公开

    公开(公告)号：US20180222059A1

    公开(公告)日：2018-08-09

    申请号：US15424825

    申请日：2017-02-04

    Applicant: Kanishka Ragula ,  Vikrant Ragula

    Inventor： Kanishka Ragula ,  Vikrant Ragula

    IPC: B25J11/00 ,  H04N7/14 ,  B25J19/02 ,  B25J13/00 ,  G05D1/00

    CPC classification number: B25J11/0005 ,  B25J5/007 ,  B25J11/00 ,  B25J13/006 ,  B25J19/023 ,  B25J19/026 ,  G05D1/0038 ,  G05D2201/0209 ,  H04N7/142 ,  H04N7/147 ,  Y10S901/01 ,  Y10S901/47

    Abstract: Interactive police robotic apparatus, interactive law enforcement systems, as well as law enforcement applications and methods. Certain embodiments include a system of a police robotic apparatus in combination with a law enforcement officer terminal. A law enforcement robot is deployed for in initial interaction with a civilian. This initial interaction can be to identify the civilian during a traffic stop, for example. The initial interaction can include the deployment of the robot so as to initially record and interact with the civilian without direct physical interaction or proximity between the law enforcement officer and the civilian. The robot can accomplish initial audio and video communication between the officer and the civilian and display the officer's face and voice to the citizen so as to put the citizen at ease during the initial interaction with the law enforcement officer.

    Tablet Computer-Based Robotic System
    65.
    发明申请
    Tablet Computer-Based Robotic System 有权

    公开(公告)号：US20170177005A1

    公开(公告)日：2017-06-22

    申请号：US15448783

    申请日：2017-03-03

    Applicant: X Development LLC

    Inventor： Christopher Lynne Morey

    IPC: G05D1/08

    CPC classification number: B60G17/016 ,  B60R99/00 ,  B62D55/06 ,  B62D55/075 ,  G05D1/0246 ,  G05D2201/0207 ,  G05D2201/0209 ,  Y10S901/01

    Abstract: An example robotic chassis may include a frame including a first side member and a second side member connected by a transverse member near respective first ends of first side member and the second side member. The robotic chassis may also include a rigid case having a mounting point for a tablet computer. The rigid case may be rotatably coupled between the side members near respective second ends of the side members. The robotic chassis may further include a first arm and a second arm having respective distal ends and respective proximal ends. Respective proximal ends of the first arm and the second arm may be rotatably coupled to the frame near opposite respective first ends of the first side member and the second side member. In addition, the robotic chassis may include a plurality of wheels rotatably coupled to the frame.

    COLLABORATIVE HUMAN-ROBOT SWARM
    66.
    发明申请
    COLLABORATIVE HUMAN-ROBOT SWARM 审中-公开
    协同人机交战

    公开(公告)号：US20170021497A1

    公开(公告)日：2017-01-26

    申请号：US15212363

    申请日：2016-07-18

    Applicant: Brandon Tseng ,  Ryan Tseng ,  Andrew Reiter

    Inventor： Brandon Tseng ,  Ryan Tseng ,  Andrew Reiter

    IPC: B25J9/16 ,  G05D1/02 ,  G05D1/00

    CPC classification number: G05D1/0217 ,  G05B2219/39146 ,  G05B2219/39153 ,  G05D1/0219 ,  G05D1/0236 ,  G05D1/0274 ,  G05D1/0297 ,  G05D2201/0207 ,  G05D2201/0209

    Abstract: One or more robots that make exploration and path planning decisions in a previously unknown or unmapped environment based on a map and localization data at least partially generated by human transported perception unit(s). One or more robots that make exploration and path planning decisions in a previously unknown or unmapped environment based on current and past position and velocity information of at least one human. Exploration and navigation recommendations presented to a human based on map and localization information at least partially generated by other humans or robots. A system of humans and robots that generates a map of an environment based data provided from at least one human transported sensor, and at least one robot transported sensor. One or more robots that make navigation, exploration and/or path planning decisions responsive to voice commands that are interpreted taking into consideration map and localization data at least partially generated by human transported perception unit A helmet (vest or other) mounted sensor used to generate map and localization data that is used by robots to make exploration and path planning decisions. A helmet (vest or other) mounted sensor used to generate map and localization data that is used by robots to map and localize themselves within the map.

    Abstract translation: 一个或多个机器人，其基于地图和至少部分由人类传送的感知单元生成的定位数据，在先前未知或未映射的环境中进行探索和路径规划决策。 基于至少一个人的当前和过去的位置和速度信息，在先前未知或未映射的环境中进行探索和路径规划决策的一个或多个机器人。 基于地图和本地化信息至少部分由其他人或机器人生成的探索和导航推荐给人类。 一种人和机器人的系统，其生成从至少一个人运输的传感器提供的基于环境的数据的图，以及至少一个机器人传送的传感器。 一个或多个机器人，用于响应于语音指令进行导航，探索和/或路径规划的决策，这些解释考虑到由人类传送的感知单元至少部分地产生的地图和定位数据。用于生成的头盔（背心或其他）安装的传感器 机器人用于进行勘探和路径规划决策的地图和本地化数据。 用于生成地图和定位数据的头盔（背心或其他）安装的传感器，由机器人用于在地图内映射和本地化。

    Unmanned ground vehicle stability control
    68.
    发明授权
    Unmanned ground vehicle stability control 有权
    无人地面车辆稳定性控制

    公开(公告)号：US09475193B2

    公开(公告)日：2016-10-25

    申请号：US14617036

    申请日：2015-02-09

    Applicant: HARRIS CORPORATION

    Inventor： Paul M. Bosscher ,  Matthew D. Summer

    IPC: B25J9/16

    CPC classification number: B25J9/1674 ,  B25J9/1602 ,  B25J9/1664 ,  G05B2219/40298 ,  G05D1/0891 ,  G05D2201/0209 ,  Y10S901/01 ,  Y10S901/02

    Abstract: Systems (100) and methods (600) for providing a robotic vehicle (100) with tip over prevention. The methods involve: determining a stability footprint, attitude and orientation of the robotic vehicle; computing a center of gravity of the robotic vehicle; projecting the center of gravity onto the stability footprint; determining whether the center of gravity is within an acceptable region of the stability footprint; calculating a new desired configuration for a movable component of the robotic vehicle when a determination is made that the center of gravity is within the acceptable region of the stability footprint; and commanding the movable component (106) to the new desired configuration.

    Abstract translation: 用于为机器人车辆（100）提供防止翻倒的系统（100）和方法（600）。 该方法涉及：确定机器人车辆的稳定性足迹，态度和方位; 计算机器人车辆的重心; 将重心投影到稳定性足迹上; 确定重心是否在稳定足迹的可接受区域内; 当确定重心在稳定足迹的可接受区域内时，计算机器人车辆的可移动部件的新的期望配置; 以及将所述可移动部件（106）命令为新的期望配置。

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