An autonomous mobile vehicle for loading and unloading goods in an environmental field, and a guidance and obstacle avoidance method are provided. The autonomous mobile vehicle includes a vehicle body, a first Lidar module, and a second Lidar module. The vehicle body is configured to carry goods, the first Lidar module is fixed on the vehicle body and the second Lidar module is selectively assembled on and disassembled from the vehicle body. When the second Lidar module is assembled on the vehicle body, the autonomous mobile vehicle uses the second Lidar module to establish a map of the environmental field. When the second Lidar module is disassembled from the vehicle body, the autonomous mobile vehicle is guided by using the first Lidar module according to the map, so as to perform an obstacle avoidance on a moving path of the autonomous mobile vehicle.

A server apparatus (10) includes a location information acquisition unit (110), a determination unit (120), and a flight vehicle control unit (130). The location information acquisition unit (110) acquires first location information indicating a location specified as a reception place for an item to be delivered by a flight vehicle (20), and second location information indicating a current location of a receiving person to receive the item. The determination unit (120) determines whether the location indicated by the first location information and the location indicated by the second location information when the flight vehicle (20) is flying satisfy a predetermined criterion. The flight vehicle control unit (130) transmits a command to the flight vehicle, and causes the flight vehicle (20) to execute flight control for performing authentication of the receiving person, when it is determined that the predetermined criterion is satisfied.

Systems and methods for enhanced MHV operation using an automation processing system for bystander detection and bystander pose estimation to control operation of the MHV.

Processing sensor data from a plurality of sensors monitoring an exterior environment of a remotely controlled vehicle. The sensors generate a corresponding respective plurality of sensor data feeds. A compositor for combining the plurality of sensor data feeds into a composite data stream is provided. A remote pilot terminal is operative to receive the composite data stream and render a representation of the exterior environment of the remotely controlled vehicle to a remote pilot. A pilot monitor determines an area of focus of the remote pilot, and the area of focus is provided to the compositor for use in differentiating the plurality of data feeds in the composite data stream. The representation of the exterior environment at the remote operator terminal is based on the area of focus of the remote pilot.

Disclosed is a task performance method of a system configured to perform a task on a delivery object using a plurality of robots assisting a worker. The task performance method of a system includes assigning, by the server, at least one task of a plurality of tasks stored in advance to a first robot among the plurality of robots, determining, by the server, a path for arranging the first robot to a first location in which at least one delivery object related to the task assigned to the first robot is stored, guiding, by the server, the first robot to the first location according to the determined path, and guiding, by the server, the first robot arranged in the first position to a second position.

A system includes a vehicle and a control device. The vehicle includes a reception unit for receiving an instruction related to remote control from the control device, a vehicle control unit for executing any one of first vehicle control and second vehicle control, the first vehicle control being control based on the instruction related to the remote control, and the second vehicle control being control determined by the vehicle itself in accordance with a traveling environment, and a transmission unit for notifying a predetermined control result to the control device when the second vehicle control is executed by the vehicle control unit. The control device includes a remote control unit, a transmission unit, and a reception unit. When the control result is notified from the vehicle, the remote control unit of the control device executes the remote control based on a content of the control result.

A method and apparatus for an autonomous delivery robot-based delivery service are disclosed. An operating method of a delivery robot includes moving to a pick-up location through autonomous driving based on delivery information generated by a delivery robot service provider, loading goods at the pick-up location, delivering the goods to a delivery location through autonomous driving based on the delivery information, and sharing a current location of the delivery robot and a loading status of the goods with the delivery robot service provider.

A method, apparatus, and computer program product provide for improving performance of autonomous robots through waypoint reduction for path planning. In the context of a method, the method obtains a path set comprising a plurality of paths to be traversed by a plurality of autonomous robots. The method determines a path set solution based at least on the path set. In some examples, the path set solution provides for conflict-free traversal of the plurality of paths by the plurality of autonomous robots, and determining the path set solution comprises removing at least one waypoint from the path set while ensuring that the path set solution from which the at least one waypoint has been removed provides for conflict-free traversal. In some embodiments, the method also causes transmission of the path set solution to at least one autonomous robot of the plurality of autonomous robots.

A customer service robot autonomously moves to support shopping of a customer in a commercial facility including a plurality of stores. The customer service robot includes an action plan generating unit (a route setting unit) configured to set a store to be visited and a moving route in the commercial facility based on a store visiting purpose acquired from the customer and an operation control unit (a movement control unit) configured to cause the customer service robot to autonomously move along the moving route.

The present application provides an unmanned aerial vehicle (UAV)-assisted federated learning resource allocation method for an UAV-assisted federated learning wireless network scenario, which takes into account the effect of altitude of the UAV on the coverage range in order to achieve an equilibrium between the total energy consumption of the user and federated learning performance. The method simultaneously considers the total energy consumption of the user and the federated learning performance, defines the total cost function of the system. The total cost function consists of weighting of the total energy consumption of the user and the inverse of the number of users participating in federated learning, and forms the optimization problem with a minimization of the total cost function.