A modular robot is provided. The modular robot includes a sweeper module having a container for collecting debris from a surface of a location. The sweeper module is coupled to one or more brushes for contacting the surface and moving said debris into said container. Included is a robot module having wheels and configured to couple to the sweeper module. The robot module is enabled for autonomous movement and corresponding movement of the sweeper module over the surface. A controller is integrated with the robot module and interfacing with the sweeper module. The controller is configured to execute instructions for assigning of at least two zones at the location and assigning a work function to be performed using the sweeper module at each of the at least two zones. The controller is further configured for programming the robot module to activate the sweeper module in each of the two zones. The assigned work function is set for performance at each of the at least two zones. The work function can be to sweep, to scrub, to polish, to mow or to perform different work functions over zones of a location, and providing remote access to view real-time operation of the modular robot, and to program zones and other control parameters of the modular robot.

A positioning processing unit measures the position of a work vehicle by a predetermined positioning method on the basis of a GNSS signal received from a satellite. A travel processing unit causes the work vehicle to travel automatically on the basis of position information of the work vehicle. A switching processing unit can switch between an RTK method and a DGPS method. A setting processing unit sets the work mode of the work vehicle to either a work accuracy preferential mode or a work continuity preferential mode. The switching processing unit switches between the RTK method and the DGPS method on the basis of the work mode and the positioning state.

A positioning processing unit measures the position of a work vehicle by a predetermined positioning method on the basis of a GNSS signal received from a satellite. A travel processing unit causes the work vehicle to travel automatically on the basis of position information of the work vehicle. A switching processing unit can switch between an RTK method and a DGPS method. A setting processing unit sets the work mode of the work vehicle to either a work accuracy preferential mode or a work continuity preferential mode. The switching processing unit switches between the RTK method and the DGPS method on the basis of the work mode and the positioning state.

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

An unmanned vehicle management system includes: a traveling area definition unit that defines a traveling area on a traveling path of a work site; and a determination unit that determines whether or not an unmanned vehicle can enter the traveling area on the basis of a vehicle width indicating the width of the unmanned vehicle and a track width indicating the width of the traveling area.

An unmanned vehicle management system includes: a traveling area definition unit that defines a traveling area on a traveling path of a work site; and a determination unit that determines whether or not an unmanned vehicle can enter the traveling area on the basis of a vehicle width indicating the width of the unmanned vehicle and a track width indicating the width of the traveling area.

A system and method for driver guidance are presented. A position sensor is mounted to a vehicle. The position sensor is configured to identify a position of the vehicle and a heading of the vehicle. A device is configured to generate a plurality of outputs. A controller is connected to the position sensor and the display device. The controller is configured to access, via a wireless communications network, a database to identify a target loading location for the vehicle, determine a location and a heading of the target loading location for the vehicle, and modify at least one of the plurality of outputs of the display device based upon at least one of the location and the heading of the target loading location.

A flexible material handling system for can handle varied loads and placements including operation in varying weather conditions, and integrates safety systems to tolerate pedestrians and manual vehicles in an operating environment. An autonomous vehicle is operable along a vehicle traversal path within a predetermined set of environmental conditions. A GPS base station is operatively in communication with the autonomous vehicle. A supervisor/orchestrator is operatively in communication with the autonomous vehicle and the GPS base station and is operative to coordinate movement of the autonomous vehicle along the vehicle traversal path and assign one or more tasks for the autonomous vehicle to accomplish.

A flexible material handling system for can handle varied loads and placements including operation in varying weather conditions, and integrates safety systems to tolerate pedestrians and manual vehicles in an operating environment. An autonomous vehicle is operable along a vehicle traversal path within a predetermined set of environmental conditions. A GPS base station is operatively in communication with the autonomous vehicle. A supervisor/orchestrator is operatively in communication with the autonomous vehicle and the GPS base station and is operative to coordinate movement of the autonomous vehicle along the vehicle traversal path and assign one or more tasks for the autonomous vehicle to accomplish.

An autonomous vehicle includes processor circuitry to control a lateral position of the autonomous vehicle during autonomous driving at least based on a default lateral position and a user interface arranged to receive an input indicative of an off-set of the lateral position from a user of the autonomous driving vehicle, wherein the processor circuitry is arranged to receive, from the user interface, information regarding the off-set of the lateral position of the autonomous driving vehicle during driving in the lateral position, calculate a maximum right and a maximum left off-set of the lateral position, calculate a dynamic off-set value based on the received off-set and the maximum right and the maximum left off-set, adjust the lateral position based on the off-set information, and control the lateral position at least based on the dynamic off-set value and the default lateral position of the autonomous driving vehicle.