A robot system (1) includes the robot (10), a motion sensor (11), a surrounding environment sensor (12, 13), an operation apparatus (21), a learning control section (41), and a relay apparatus (30). The robot (10) performs work based on an operation command. The operation apparatus (21) detects and outputs an operator-operating force applied by the operator. The learning control section (41) outputs a calculation operating force. The relay apparatus (30) outputs the operation command based on the operator-operating force and the calculation operating force. The learning control section (41) estimates and outputs the calculation operating force by using a model constructed by performing the machine learning of the operator-operating force, the surrounding environment data, the operation data, and the operation command based on the operation data and the surrounding environment data outputted by the sensors (11 to 13), and the operation command outputted by the relay apparatus (30).

A robot system includes a robot, state detection sensors to, a timekeeping unit, a learning control unit, a determination unit, an operation device, and an input unit, and an additional learning unit. The determination unit determines whether or not the work of the robot can be continued under the control of the learning control unit based on the state values detected by the state detection sensors to and outputs determination result. The additional learning unit performs additional learning of the determination result indicating that the work of the robot cannot be continued, the operator operation force, work state output by the operation device and the input unit, and timer signal output by the timekeeping unit.

A robotic system includes a robot having a picking arm to grasp an inventory item and a shuttle. The shuttle includes a platform adapted to receive the inventory item from the picking arm of the robot. The platform is moveable between a pick-up location located substantially adjacent to the robot and an end location spaced a distance apart from the pick-up location. The system improves efficiency as transportation of the item from the pick-up location to the end location is divided between the robot and the shuttle.

A robot system includes robot bodies, operation devices each configured to accept operation and generate operational information for causing the robot body to operate, motion controllers configured to control operation of the corresponding robot body in response to the operational information, operation target selectors configured to receive an operation for selecting any of the robot bodies and request a permission to operate the selected robot body based on the operational information from the corresponding operation device, and an operation permitting device having a determinator configured to receive the permission request from the operation target selector and determine whether a permission is to be granted for the permission request. When the permission request is received, and the operation of the robot body selected by the operation target selector based on the operational information from a different operation device is permitted, the determinator prohibits the permission to the permission request.

Provided are systems and methods for training a robot. The method commences with collecting, by the robot, sensor data from a plurality of sensors of the robot. The sensor data may be related to a task being performed by the robot based on an artificial intelligence (AI) model. The method may further include determining, based on the sensor data and the AI model, that a probability of completing the task is below a threshold. The method may continue with sending a request for operator assistance to a remote computing device and receiving, in response to sending the request, teleoperation data from the remote computing device. The method may further include causing the robot to execute the task based on the teleoperation data. The method may continue with generating training data based on the sensor data and results of execution of the task for updating the AI model.

An indication of a task to be performed in a network data center is received. A robotic manipulator of an autonomous robot is controlled to autonomously perform at least a portion of the task. It is determined that an assistance is required in performing an identified limited portion of the task. A notification of a request for the assistance is provided. A remote assistance from an operator in performing the identified limited portion of the task is received. Autonomous performance of the task is resumed after completion of the remote assistance for the identified limited portion of the task.

A robot system with a robot that has a camera and a remote control station that can connect to the robot. The connection can include a plurality of privileges. The system further includes a server that controls which privileges are provided to the remote control station. The privileges may include the ability to control the robot, joint in a multi-cast session and the reception of audio/video from the robot. The privileges can be established and edited through a manager control station. The server may contain a database that defines groups of remote control station that can be connected to groups of robots. The database can be edited to vary the stations and robots within a group. The system may also allow for connectivity between a remote control station at a user programmable time window.

Provided is a multi-information provider system of a guidance robot and a method thereof. The multi-information provider system of a guidance robot may include a user database configured to receive and store user information transmitted from a terminal of a user, a robot database configured to receive pieces of robot information from one or more guidance robots and store the pieces of robot information, a valid robot list generator configured to list pieces of information of guidance robots located within a predetermined effective distance from a location of the user, a service matcher configured to match the user information and each of the pieces of robot information included in a valid robot list, and an outputter configured to output matched service information to the user terminal.

A robotic process automation system operates to generate a plurality of bots, each bot comprising one or more configurable commands arranged to perform assigned tasks. A processor is configured to execute instructions that when executed cause the processor to provide to a user a plurality of recorders to permit the user to create one or more bots for storage in data storage. The instructions implement a plurality of recorders to permit capture of user interaction in a variety of application environments. A secure recording mode is selectable by an administrator of the robotic process automation system, for preventing display to a user of an entire screen of information generated by an application while the user is generating a bot. The administrator can employ the robotic process automation system permit display to the user of only selected fields of information, along with associated labels.

A robot system includes robot bodies, operation devices each configured to accept operation and generate operational information for causing the robot body to operate, motion controllers configured to control operation of the corresponding robot body in response to the operational information, operation target selectors configured to receive an operation for selecting any of the robot bodies and request a permission to operate the selected robot body based on the operational information from the corresponding operation device, and an operation permitting device having a determinator configured to receive the permission request from the operation target selector and determine whether a permission is to be granted for the permission request. When the permission request is received, and the operation of the robot body selected by the operation target selector based on the operational information from a different operation device is permitted, the determinator prohibits the permission to the permission request.