A parsing system includes an imaging device and one or more processors. The imaging device may capture visual instructions displayed on a monitor. The one or more processors may be configured to receive, from the imaging device, the captured visual instructions, generate functions for a robot to perform based on the captured visual instructions, and transmit, to a robot, the functions to perform.

According to the present invention, the further home robot transmits data of the plurality of IoT devices based on a camera mounted on a robot, a communication unit, a storage unit storing internal map data, and device information and location information of the plurality of IoT devices installed in a home through communication with the IoT device, and moves to a point where abnormal data is generated when the data of the further plurality of IoT devices are abnormal The processor provided is included.

According to the present invention, the further home robot transmits data of the plurality of IoT devices based on a camera mounted on a robot, a communication unit, a storage unit storing internal map data, and device information and location information of the plurality of IoT devices installed in a home through communication with the IoT device, and moves to a point where abnormal data is generated when the data of the further plurality of IoT devices are abnormal The processor provided is included.

A system and method for operating a transport robot to simultaneously grasp and transfer multiple objects is disclosed. The transport robot includes a multi-gripper assembly having an array of addressable vacuum regions each configured to independently provide a vacuum. The robotic system receives image data representative of a group of objects. Individual target objects are identified in the group based on the received image data. Addressable vacuum regions are selected based on the identified target objects. The transport robot is command to cause the selected addressable vacuum regions to simultaneously grasp and transfer multiple target objects.

The present disclosure discloses a robot control method as well as an apparatus, and a robot using the same. The method includes: obtaining a human pose image; obtaining pixel information of key points in the human pose image; obtaining three-dimensional positional information of key points of a human arm according to the pixel information of the preset key points; obtaining a robotic arm kinematics model of a robot; obtaining an angle of each joint in the robotic arm kinematics model according to the three-dimensional positional information of the key points of the human arm and the robotic arm kinematics model; and controlling an arm of the robot to perform a corresponding action according to the angle of each joint. The control method does not require a three-dimensional stereo camera to collect three-dimensional coordinates of a human body, which reduces the cost to a certain extent.

The present disclosure discloses a robot control method as well as an apparatus, and a robot using the same. The method includes: obtaining a human pose image; obtaining pixel information of key points in the human pose image; obtaining three-dimensional positional information of key points of a human arm according to the pixel information of the preset key points; obtaining a robotic arm kinematics model of a robot; obtaining an angle of each joint in the robotic arm kinematics model according to the three-dimensional positional information of the key points of the human arm and the robotic arm kinematics model; and controlling an arm of the robot to perform a corresponding action according to the angle of each joint. The control method does not require a three-dimensional stereo camera to collect three-dimensional coordinates of a human body, which reduces the cost to a certain extent.

Disclosed is a mobile robot capable of communicating with other electronic devices and an external server in a 5G communication environment by executing mounted artificial intelligence (AI) algorithms and/or machine learning algorithms. The mobile robot may include a wheel driver and a controller. By providing the mobile robot, an autonomous driving-based transportation service may be provided.

Disclosed is a mobile robot capable of communicating with other electronic devices and an external server in a 5G communication environment by executing mounted artificial intelligence (AI) algorithms and/or machine learning algorithms. The mobile robot may include a wheel driver and a controller. By providing the mobile robot, an autonomous driving-based transportation service may be provided.

Inter-operative switching of tools in a robotic system includes a system with a plurality of manipulators and a controller. The controller is configured to detect mounting of a first imaging device to a first manipulator of the plurality of manipulators, the first imaging device having a first reference frame; in response to detecting the mounting of the first imaging device, control a tool relative to the first reference frame using a second manipulator of the plurality of manipulators, the tool being mounted to the second manipulator; detect mounting of a second imaging device to a third manipulator of the plurality of manipulators, the second imaging device having a second reference frame; and in response to detecting the mounting of the second imaging device, control the tool relative to the second reference frame using the second manipulator.

A robot system includes an operating device that receives an operation instruction from an operator, a real robot that is installed in a work space and performs a series of works constituted of a plurality of steps, a camera configured to image the real robot, a display device configured to display video information of the real robot imaged by the camera and a virtual robot, and a control device, in which the control device is configured to operate the virtual robot displayed on the display device based on instruction information input from the operating device, and thereafter operate the real robot in a state that the virtual robot is displayed on the display device when operation execution information to execute an operation of the real robot is input from the operating device.