An information generation method is performed by an information generation device which generates information for a learning model that infers whether a mobile object is movable in a predetermined region. The information generation method includes: obtaining at least (i) first information and (ii) second information when the mobile object moves in a first region, the first information being obtained from a sensor provided in the mobile object, the second information relating to movement of the mobile object; inferring whether the mobile object is movable in the first region according to the second information; and generating fourth information for a learning model, the fourth information associating the first information, the second information, and third information with one another, the third information indicating an inference result which is obtained in the inferring.

A robotic working apparatus includes: a working robot configured to perform work while autonomously traveling in a set working area; and a controller configured to control motion of the working robot and including a working area setting section configured to partition and set the working area. The working area setting section sets an individual enclosed area overlapping with an existing working area.

Some embodiments may include a touchscreen or other user input interface to select part of a displayed map and one or more processors coupled to the touchscreen or other user input interface. The one or more processors may be configured to setup an autonomous operating zone for a working machine based on a user selection from a displayed map. The working machine may monitor its current location with respect to the autonomous operation zone, and may de-actuate at least one of its actuator(s) or send a new actuation signal to its actuator(s) to change an operation of at least one motorized device of the working machine. Other embodiments may be disclosed and/or claimed.

Disclosed is a system for controlling navigation of a robot in a dynamic environment based on heuristic learning. The system comprising: a heuristic learning unit configured to determine at least a preferred path, a preferred position, and a preferred orientation for the robot based on human robot interaction (HRI) during navigation of the robot and a path scaling factor and a navigation control unit configured to generate at least one of: an optimal path, an optimal position, and an optimal orientation, for navigation of the robot in the dynamic environment in real-time, during navigation of the robot, based on at least one of: the preferred path, the preferred position, the preferred orientation or a previous navigation data associated with the robot.

A method for an autonomous robot to empty refuse. A sensor positioned on the robot captures sensor data of an environment of the robot as the robot navigates within the environment and a processor of the robot generates a map of the environment based on at least the sensor data. The processor receives a schedule for emptying refuse stored in a container of the robot at a refuse collection location from an application of a communication device. The processor determines a path of the robot from a storage location of the robot to the refuse collection location and actuates the robot to autonomously drive along the path according to the schedule.

A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

The present application discloses a robot task execution method, apparatus, robot and storage medium. The method comprises: acquiring a training trajectory and an environment map in a training mode; generating a target region for tasks to be performed by a robot based on the environment map and the training trajectory, wherein the target region is a maximum envelope region in which the robot can complete tasks autonomously; controlling the robot to traverse the target region until the robot completes the tasks to be performed. By adopting the above technical solution, the robot can perform tasks stably and efficiently in various environmental regions, thereby being able to be applied to various application scenarios.

Systems and methods are described for the display of a transformed virtual representation of sensor data overlaid on a site model. A system can obtain a site model identifying a site. For example, the site model can include a map, a blueprint, or a graph. The system can obtain sensor data from a sensor of a robot. The sensor data can include route data identifying route waypoints and/or route edges associated with the robot. The system can receive input identifying an association between a virtual representation of the sensor data and the site model. Based on the association, the system can transform the virtual representation of the sensor data and instruct display of the transformed data overlaid on the site model.

A route generation device includes a processing section that generates a movement route of a moving body including a passing point and a route line set on a map. The processing section changes the position of at least one of the passing point and the route line on the movement route that has been created beforehand on the basis of data of a movement trajectory when the moving body moves in a real environment of a predetermined area. When changing the position of the passing point of the movement route on the basis of the data of the movement trajectory, the processing section moves the passing point to a closest position on the movement trajectory.

An information processing system according to an embodiment includes: an acquisition unit that acquires a radio wave condition in an environment, and a creation unit that creates an operation plan on the basis of the radio wave condition and radio field intensity necessary for transmitting video data to be used for distribution.