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.

A returning method of a self-moving device, a self-moving device are provided. In the returning method, a self-moving device autonomously moves inside a working region based on a map. Specifically, the method includes: acquiring a current position of the self-moving device in the working region; selecting a return path to a target position according to the current position; determining a reuse status of the return path, determining, based on the reuse status of the return path, whether to reselect a return path; and enabling the self-moving device to return to the target position along the selected return path.

A robotic vacuum cleaner equipped with a holonomic drive that can drive in a given direction, e.g., north (with its assigned orientation being north) and move in a different direction, e.g., east, north-east, or any direction) while maintaining its assigned orientation or that of any desired portion of the robot such as an intake, bank of sensors, or any other portion of the robot that is needed for a particular maneuver.

A green area maintenance system, includes: an autonomous mobile green area maintenance robot having a treatment tool, a cutting tool differing from the treatment tool, wherein the green area maintenance robot and the cutting tool are configured to allow fixing of the cutting tool to the green area maintenance robot, a user control device, an autonomous operation mode and a cutting operation mode, wherein in the autonomous operation mode the autonomous mobile green area maintenance robot with its treatment tool operates autonomously and the cutting tool is set out of operation, and wherein in the cutting operation mode the cutting tool is fixed to the green area maintenance robot and operable. The green area maintenance robot with its treatment tool and the cutting tool are controlled by a user via the user control device, and an operation mode switching device for switching between the autonomous operation mode and the cutting operation mode.

Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.

A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

A method for selecting a direction, a mower, and an electronic equipment are provided. With the method, a boundary of a target region is identified via a mower. If a distance between the mower and the boundary is determined to be within a first preset range according to the boundary as identified, the mower is controlled to move along the boundary in a movement direction. The movement direction is either a leftward direction along the boundary or a rightward direction along the boundary, which direction has a less angle with respect to an orientation of a head of the mower.

A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

An unmanned aerial vehicle inspection route generating apparatus and method are provided. The apparatus generates a plurality of inspection points corresponding to a target object to be inspected, and each of the inspection points corresponds to a spatial coordinate. The apparatus calculates a plurality of flight segments based on a three-dimensional model corresponding to the target object to be inspected and the spatial coordinates corresponding to the inspection points, and each of the flight segments corresponds to two of the inspection points. The apparatus calculates a risk value corresponding to each of the flight segments. The apparatus generates an inspection route corresponding to the target object to be inspected based on the risk values and the flight segments.

Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.