A remote controlled device comprises one or more memories and one or more processors. The one or more processors are configured to, when an event relating to a task being executed by a remote control object occurs: transmit information on a subtask of the task, receive a command relating to the subtask, and execute the task based on the command.

The present disclosure provides a task management method for a robot, a robot using the same, and a computer readable storage medium. The method includes: obtaining a current task of the robot, in response to receiving a request for executing a new task of the robot; querying the preset state table according to the new task and the current task to determine whether to switch the robot from the current task to the new task: and switching the robot from the current task to the new task, in response to determining to switch. In this way, the stability of the operation of the robot can be improved, and the efficiency of the robot to execute tasks can be improved.

The present disclosure provides a task management method for a robot, a robot using the same, and a computer readable storage medium. The method includes: obtaining a current task of the robot, in response to receiving a request for executing a new task of the robot; querying the preset state table according to the new task and the current task to determine whether to switch the robot from the current task to the new task: and switching the robot from the current task to the new task, in response to determining to switch. In this way, the stability of the operation of the robot can be improved, and the efficiency of the robot to execute tasks can be improved.

Methods and robot management systems for building a robot mission based on mission metrics are described, including: providing a data record of mission files associated with a set of recorded robot missions; receiving an input from a user including an indication of one or more robot-agnostic tasks to be performed with respect to an environment; determining first contextual information associated with the one or more robot-agnostic tasks; searching the data record of the mission files and identifying, based on the search and the first contextual information, one or more mission files including one or more tasks that match the one or more robot-agnostic tasks; generating ranking information associated with the one or more identified mission files based on recorded metrics data associated with the one or more identified mission files; and providing the one or more identified mission files based on the ranking information.

Systems, methods, and computer program products for automating tasks are described. A multi-step framework enables a gradient towards task automation. An agent performs a task while sensors collect data. The data are used to generate a script that characterizes the discrete actions executed by the agent in the performance of the task. The script is used by a robot teleoperation system to control a robot to perform the task. The robot teleoperation system maps the script into an ordered set of action commands that the robot is operative to auto-complete to enable the robot to semi-autonomously perform the task. The ordered set of action commands is converted into an automation program that may be accessed by an autonomous robot and executed to cause the autonomous robot to autonomously perform the task. In training, simulated instances of the robot may perform simulated instances of the task in simulated environments.