发明名称 AUTONOMOUS ROBOT USING DATA CAPTURED FROM A LIVING SUBJECT
摘要 Using various embodiments, an autonomous robot using data captured from a living subject are disclosed. In one embodiment, an autonomous robot is described comprising a robotic skeleton designed similar to that of a human skeleton to simulate similar movements as performed by living subjects. The movements of the robotic skeleton are resultant due to control signals received by effectors present near or on the robotic skeleton. The robot can be configured to receive sensor data transmitted from a sensor apparatus that periodically gathers the sensor data from a living subject. The robot can then process the sensor data to transmit control signals to the effectors to simulate the actions performed by the living subject and perform a predictive analysis to learn the capability of generating spontaneous and adaptive actions, resulting in an autonomous robot that can adapt to its surroundings.
申请公布号 US2017028563(A1) 申请公布日期 2017.02.02
申请号 US201615224519 申请日期 2016.07.30
申请人 Hemken Heinz 发明人 Hemken Heinz
分类号 B25J11/00;A61B5/11;A61B5/00;B25J9/16 主分类号 B25J11/00
代理机构 代理人
主权项 1. An autonomous robot system comprising: a robot comprising a robotic skeleton designed similar to that of a human skeleton to simulate similar movements as performed by living subjects, wherein movements of the robotic skeleton are resultant to control signals received by effectors present near or on the robotic skeleton; and a processing system coupled to the robot, the processing system configured to: receive sensor data, the sensor data received from a sensor apparatus, wherein the sensor apparatus periodically gathers the sensor data from a living subject, the sensor apparatus including at least one sensor to capture the body and limb motions of the living subject, and at least another sensor to capture data related to the surroundings of the living subject, including stereoscopic video and stereophonic audio, and wherein the sensor data includes the data generated by the at least one sensor and the at least another sensor,process the sensor data to transmit control signals to the effectors to simulate the actions performed by the living subject, anditeratively, perform a predictive analysis to learn the capability of generating actions that are spontaneous and adaptive to the robot's immediate environment, as well as its ongoing interactions with living or inanimate elements that surround it, wherein the processing system further receives and processes sensor data resulting from the spontaneous and adaptive actions of the robot.
地址 Foster City CA US