A moving robot and a controlling method for the same are disclosed, in which mapping is performed along a wire provided in a boundary of a task area. According to various embodiments disclosed in the present disclosure, since the moving robot self-drives along the wire when setting the task area, a user may acquire map information corresponding to the task area without directly manipulating the moving robot.

A conveyance system (1) according to the present disclosure includes: a conveyance vehicle (10) that conveys an object based on a first traveling path; a sensor (20) that transmits information regarding a position of the conveyance vehicle (10) via a network; a communication unit (32) that can communicate with the conveyance vehicle (10) and the sensor (20); and a control unit (31) that controls the conveyance vehicle (10) via the communication unit (32). The control unit (31) determines a second traveling path based on the information regarding the position of the conveyance vehicle (10) and corrects a traveling trajectory of the conveyance vehicle (10) based on the first traveling path and the second traveling path.

A conveyance system (1) according to the present disclosure includes: a conveyance vehicle (10) that conveys an object based on a first traveling path; a sensor (20) that transmits information regarding a position of the conveyance vehicle (10) via a network; a communication unit (32) that can communicate with the conveyance vehicle (10) and the sensor (20); and a control unit (31) that controls the conveyance vehicle (10) via the communication unit (32). The control unit (31) determines a second traveling path based on the information regarding the position of the conveyance vehicle (10) and corrects a traveling trajectory of the conveyance vehicle (10) based on the first traveling path and the second traveling path.

Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

A forklift-truck remote operation system includes a forklift truck and a remote operation device. The forklift-truck remote operation system further includes: a camera mounted to the forklift truck and configured to capture an image of an area around the forklift truck; a display disposed in the remote operation device and configured to display the image captured by the camera; a pallet detector configured to perform image recognition processing of the image captured by the camera and detect a plurality of pallets; a display controller configured to control the display to display the image captured by the camera with an indication for pallet selection from the pallets detected by the pallet detector; and a travel controller configured to control the forklift truck to move to a position of the selected pallet.

Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode or an autonomous vehicle. For instance, a polygon representative of the shape and location of a first object may be received. A polyline contour representation of a portion of a polygon representative of the shape and location of a second object may be received. The polyline contour representation may be in half-plane coordinates and including a plurality of vertices and line segments. Coordinates of the polygon representative of the first object may be converted to the half-plane coordinate system. A collision location between the polyline contour representation and the polygon representative of the first object may be determined using the converted coordinates. The autonomous vehicle may be controlled in the autonomous driving mode to avoid a collision based on the collision location.

Vehicle allocation system includes an information provision apparatus, a first apparatus: control apparatus, and a user's second apparatus: user terminal apparatus. Processor of the information provision apparatus calculates a first driving plan for a vehicle in response to request information. When a second driving plan different from the first driving plan is calculated based on detection information acquired from the vehicle, the processor determines the cause of a change in the driving plan on the basis of the detection information. The processor transmits cause information including the cause to the user terminal apparatus. The user terminal apparatus presents the cause information on a display.

A multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system are described. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.

A multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system are described. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.