A work management system for managing work to be performed on a work subject. The work management system includes multiple work robots, a storage unit, a generator, and an instruction unit. The work robots each include movement means capable of moving to any location. The storage unit stores target information on a target state of the work subject and current state information on a current state of the work subject. The generator generates work procedure information indicating a work procedure to be performed by the work robots so that the work subject is brought close to the target state, on the basis of the target information and the current state information. The work procedure information includes work instruction information for instructing the work robots to perform one or more types of work to be performed on the work subject.

A method for controlling an autonomous, mobile robot which is designed to navigate independently in a robot deployment area, using sensors and a map. According to one embodiment, the method comprises detecting obstacles and calculating the position of detected obstacles based on measurement data received by the sensors, and controlling the robot to avoid a collision with a detected obstacle, the map comprising map data that represents at least one virtual blocked region which, during the control of the robot, is taken into account in the same way as an actual, detected obstacle.

A travel processing unit causes a work vehicle to travel manually on the basis of an operator's manual travel operation. A route-generation processing unit generates a target route, which is a route for the work vehicle to travel automatically, when the operator's route-generation instruction operation to the operation unit is accepted while the work vehicle is traveling manually. A travel processing unit causes the work vehicle to travel automatically along the target route when the operator's automatic-travel start operation to the operation unit is accepted after the route-generation instruction operation.

The invention relates to an agricultural attachment for cultivating row crops, comprising a row-detection device designed to detect, during a cultivation process, locations and/or courses of rows of plants on farmland, and a signal generating device designed to generate steering commands for a drive vehicle to which the attachment is attached, in accordance with the locations and/or courses of the rows of plants detected by the row-detection device.

A robotic vehicle (10) may include a chassis supporting a storage tank in which an aqueous solution is contained, a mobility assembly operably coupled to the chassis to provide mobility for the robotic vehicle about a service area (20), a positioning module (60) configured to provide guidance for the robotic vehicle (10) during transit of the robotic vehicle (10) over the service area (20), a spray assembly (90) and control circuitry (12).

A travel line creation system for an agricultural machine, includes a position acquirer to acquire position measurement points for the agricultural machine, a display, a first generator to associate the position measurement points with a field displayed by the display and generate creation points on the field by shifting the position measurement points inward in an agricultural field, a second generator to create a travel line including a loop which passes through the creation points and calculate each of virtual lines by connecting together adjacent ones of the creation points, and a setter to extract a pair of virtual lines adjacent to each other and extending in different directions and set, as a work point regarding a breakpoint in work performed by a working device, one of the creation points shared by the extracted pair of virtual lines.

An automatic working system comprises a self-moving device moving and working in a working region, a handheld device and a control module. The handheld device is configured to move along a perimeter of the working region with a user and comprises a detecting module, detecting the perimeter information of the working region; and an input module, receiving a command of the user for detecting the perimeter information. The control module comprises a perimeter setting unit, generating virtual data of the perimeter, an area calculation unit calculating the area of the working region and a scheduling unit generating a working schedule. The self-moving device comprises a working module, a driving module and a controller. The controller controls the self-moving device to work according to the working schedule.

The present disclosure provides a self-propelled pathogen detection device in which a place where a pathogen is highly likely to be present in a space such as an inside of a facility is allowed to be configured preferentially to be a target region of detection. The self-propelled pathogen detection device according to the present disclosure comprises a housing; a detection part for detecting a pathogen; a movement mechanism for moving the housing; a position acquirement part for acquiring position information representing a current position of the housing in a space; and a control part which determines a target region in the space on the basis of traffic line information on a person in the space, and controls the movement mechanism to move the housing in the target region on the basis of the position information. The detection part detects the pathogen in the target region.

The present disclosure relates generally to techniques for the kinematic estimation and dynamic behavior estimation of autonomous heavy equipment or vehicles to improve navigation, digging and material carrying tasks at various industrial work sites. Particularly, aspects of the present disclosure are directed to obtaining a set of sensor data providing a representation of operation of an autonomous vehicle in a worksite environment, estimating, by a trained model comprising a Gaussian process, a set of output data based on the set of sensor data, controlling an operation of the autonomous vehicle in the worksite environment using input data derived from the set of sensor data and the set of output data, obtaining actual output data from the operation of the autonomous vehicle in the worksite environment, and updating the trained model with the input data and the actual output data.

Provided is a process that includes: obtaining a first version of a map of a workspace; selecting a first undiscovered area of the workspace; in response to selecting the first undiscovered area, causing the robot to move to a position and orientation to sense data in at least part of the first undiscovered area; and obtaining an updated version of the map mapping a larger area of the workspace than the first version.