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公开(公告)号:US11573114B2
公开(公告)日:2023-02-07
申请号:US16735071
申请日:2020-01-06
Applicant: LG ELECTRONICS INC.
Inventor: Sung Gil Park , Changwoo Son , Seyul Son , Taeyoung Choi , Seukwoo Ryu
Abstract: Provided are a robot that calculates a level of liquid contained in a liquid container and a method for calculating such liquid level. The robot includes a robot arm to which a tool is attached to an end of the robot arm, a torque sensor disposed on the robot arm and measuring a torque value of the robot arm, and a processor that controls the robot arm and receives the torque value from the torque sensor and calculates information related to the torque value, and calculates the level value of liquid contained in the liquid container based on the information related to the torque value.
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公开(公告)号:US11458624B2
公开(公告)日:2022-10-04
申请号:US16774384
申请日:2020-01-28
Inventor: Sung Gil Park , Byeonggil Yoo , Sungeun Chung , Il Hong Suh , Youngbin Park , Taewon Kim , Yeseong Park
Abstract: Disclosed herein are a control server and method for controlling a robot using an artificial neural network, and a robot implementing the same. The robot includes a driver, a processor controlling the driver using an artificial neural network-based algorithm model, and a learning processor learning the algorithm model, where the algorithm model includes a first GAN (generative adversarial network) and a second GAN, the processor generates a plurality of real-like-fake images using a first generator included in a learned first GAN, the learning processor learns a second GAN based on a plurality of random texture rendered images and the plurality of real-like-fake images, and the processor generates a canonical image by inputting a real image to a second generator included in a learned second GAN, and controls the driver using the canonical image.
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公开(公告)号:US11383384B2
公开(公告)日:2022-07-12
申请号:US16833158
申请日:2020-03-27
Applicant: LG ELECTRONICS INC.
Inventor: Sung Gil Park , Changwoo Son , Seyul Son , Taeyoung Choi , Seuk Woo Ryu
IPC: B25J9/16
Abstract: Disclosed is a robot and a method for controlling a robot. The robot according to an embodiment of the present disclosure may include an end-effector configured to grip a tool, a tactile sensor disposed in the end-effector, the tactile sensor configured to generate tactile information about an identifier formed on the tool, and a processor configured to cause the end-effector to grip the tool, and determine at least one of a type or a posture of the tool gripped by the end-effector based on the tactile information received from the tactile sensor. Embodiments of the present disclosure may be implemented by executing an artificial intelligence algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things.
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