Systems, apparatus, and methods to facilitate docking of robotic vehicles with platforms are disclosed. An example apparatus includes memory; machine readable instructions; and processor circuitry to execute the machine readable instructions to identify a property associated with a platform; determine a confidence associated with docking the platform and an autonomous vehicle based on the property associated with the platform; identify a positioning maneuver to be performed by the autonomous vehicle relative to the platform based on the confidence and the property of the platform; and output an instruction to cause the autonomous vehicle to perform the positioning maneuver.

An autonomous driving robot includes a driving unit that moves the autonomous robot; a camera; a traveling distance measurement sensor; and a control unit that estimates a location of the autonomous robot using a captured image and traveling distance information. In this case, the operation control program generates a robot viewpoint map based on the image captured by the camera, estimates a location of the autonomous robot based on the robot viewpoint map and the measured traveling distance information, and generates a global map based on the robot viewpoint map and position estimation information, and the operation control program inputs the generated robot viewpoint map and global map into a style-transfer model, and inputs a style-transferred robot viewpoint map and a style-transferred global map output by the style-transfer model into the operation agent to correct the estimated position.

The present disclosure relates to a moving body, a movement control method, and a program capable of suppressing erroneous determination in obstacle detection.

A normal vector estimation unit estimates a normal vector on the basis of sensor data obtained by sensing an object in a traveling direction of the own device, and a control information estimation unit generates control information for controlling movement of the own device on the basis of the normal vector. Technology according to the present disclosure can be applied to, for example, a moving body such as a drone.

A method, system and non-transitory computer readable medium includes obtaining an electronic map of an agricultural field. One or more assignment instructions for each of a plurality of robotic systems in an assigned team are generated to optimize execution of a selected agricultural task with respect to at least one parameter based on the obtained electronic map, a number of the robotic systems in the team, and at least one capability of each of the robotic systems in the team. The robotic systems in the team are managed based on wireless transmission of the generated assignment instructions to the robotic systems.

A moving robot may include a first location recognition module configured to extract a straight line in a driving process and recognize a location using the extracted straight line and a second location recognition module configured to confirm the recognized location by reflecting the location recognized by the first location recognition module based on the image information obtained from the surroundings by way of an image capturing device.

Disclosed is a cleaning robot including: a driving unit configured to move the cleaning robot; an obstacle sensor configured to sense an obstacle; and a controller configured to reduce, if a distance between the cleaning robot and the obstacle is shorter than or equal to a reference distance, a driving speed of the cleaning robot so that the driving speed of the cleaning robot is lower than a shock absorbing speed when the cleaning robot contacts the obstacle.

A mowing vehicle provided with a traveling machine and a mowing device includes a first image-capturing device and a controlling unit configured to control the traveling machine to travel autonomously along a boundary line of grass before and after mowing formed by the mowing device. The controlling unit includes a boundary-detecting unit configured to detect the boundary line and a traveling-controlling unit configured to control traveling directions of the traveling machine. The boundary-detecting unit is configured to generate intensity distribution information regarding texture information in a predetermined direction by filtering with a Gabor filter on a captured image. The boundary-detecting unit is configured to carry out statistical processing on the intensity distribution information per inspection area divided in plural in a vertical direction so as to detect boundary points and to detect the boundary line from the boundary points per the inspection area.

The present disclosure relates to a remote driving system that performs remote driving of a vehicle based on an operation amount input to a remote driving terminal. The remote driving system includes at least one processor. The at least one processor detects a first situation in which the remote driving of the vehicle is required. The at least one processor acquires an urgency level of the first situation. The at least one processor performs an initial check for checking that the remote driving can be started at the remote driving terminal when the first situation is detected. The at least one processor omits a part of the initial check according to the urgency level.

A remote control system includes a mobile terminal configured to control a construction machine in a first operating mode using one or more control elements of the mobile terminal and to control at least one imaging device in a second operating mode using the one or more control elements of the mobile terminal. The at least one imaging device is controllable by the one or more control elements of the mobile terminal to record an environment of the construction machine and/or a working tool of the construction machine. A position and/or alignment of the at least one imaging device is controllable via the one or more control elements of the mobile terminal.

A breeding robot including a base and a support being movably connected to the base. The support is of a hollow cylindrical structure, a telescopic arm movably passes through the support, a first motor is mounted to an end of the telescopic arm away from the support, a transmission shaft of the first motor is connected to a rotating bracket, a saw blade is mounted to the bottom side of the rotating bracket, and the saw blade is used for cutting maize tassel. The end of the rotating bracket is mounted with a CCD detector, and the CCD detector is used for detecting the position of the maize tassel. A blower is further mounted to the base, an air outlet of the blower is connected to a first end of an air duct, and a second end of the air duct is connected to the air blowing portion.