An example method includes identifying a degraded visual environment corresponding to a phase of a route followed by the vehicle. The method includes determining, based on the phase of the route, a first segment of a trajectory of the vehicle along which to search for a location with an improved navigation environment. The method includes causing the vehicle to follow the first segment until: (i) identifying the improved navigation environment, or (ii) reaching an end of the first segment without identifying the improved navigation environment. The method includes determining a second segment of the trajectory based on whether the improved navigation environment has been identified. The method includes causing the vehicle to follow the second segment.

An example method includes identifying a degraded visual environment corresponding to a phase of a route followed by the vehicle. The method includes determining, based on the phase of the route, a first segment of a trajectory of the vehicle along which to search for a location with an improved navigation environment. The method includes causing the vehicle to follow the first segment until: (i) identifying the improved navigation environment, or (ii) reaching an end of the first segment without identifying the improved navigation environment. The method includes determining a second segment of the trajectory based on whether the improved navigation environment has been identified. The method includes causing the vehicle to follow the second segment.

A method for automated assignment of a staging pad to an unmanned aerial vehicle (UAV) includes: launching the UAV from a launch location; tracking a drift of the UAV from the launch location; determining a subsequent position of the UAV after the launching based upon geofiducial navigation; calculating an estimated position of the launch location by offsetting the subsequent position by the drift; attempting to match the estimated position to an available staging pad of a plurality of staging pads; and assigning the UAV to the available staging pad when the estimated position successfully matches to the available staging pad.

A method for automated assignment of a staging pad to an unmanned aerial vehicle (UAV) includes: launching the UAV from a launch location; tracking a drift of the UAV from the launch location; determining a subsequent position of the UAV after the launching based upon geofiducial navigation; calculating an estimated position of the launch location by offsetting the subsequent position by the drift; attempting to match the estimated position to an available staging pad of a plurality of staging pads; and assigning the UAV to the available staging pad when the estimated position successfully matches to the available staging pad.

Proposed are a mobile object, an information processing apparatus, an information processing method, and a program that are capable of improving the accuracy of determining whether to land a drone aircraft on a landing surface. The mobile object of the present technology includes a control unit. The control unit calculates a temporal change of a landing surface from images in which the landing surface for the mobile object is imaged in time series by an imaging unit of the mobile object in a hovering state, and determines whether to land the mobile object on the landing surface on the basis of the calculated temporal change.

An information processing device (100) includes a calculation unit (113) that calculates an amount of change in a landing point of a landing point position to which a current swing leg of a robotic apparatus (1) including one or more legs to land next from a planned landing point position, and an amount of change in the center of pressure of a position of the center of pressure to be generated by a current ground contact leg of the robotic apparatus (1) from a position of a target center of pressure, and a drive control unit (114) that controls an attitude and movement of the robotic apparatus (1), based on at least one of the amount of change in the landing point or the amount of change in the center of pressure, calculated by the calculation unit (113).

An information processing device (100) includes a calculation unit (113) that calculates an amount of change in a landing point of a landing point position to which a current swing leg of a robotic apparatus (1) including one or more legs to land next from a planned landing point position, and an amount of change in the center of pressure of a position of the center of pressure to be generated by a current ground contact leg of the robotic apparatus (1) from a position of a target center of pressure, and a drive control unit (114) that controls an attitude and movement of the robotic apparatus (1), based on at least one of the amount of change in the landing point or the amount of change in the center of pressure, calculated by the calculation unit (113).

In various aspects, a first set of attributes associated with a target location are determined. The target location is a location that one or more items are to be delivered to by an unmanned aerial vehicle (UAV). The first set of attributes are compared with a second set of attributes. The second set of attributes indicate attributes of each UAV of a plurality of UAVs. Based on the comparing, a UAV, of the plurality of UAVs, is recommended to deliver the one or more items to the target location.

A configuration is described that is capable of determining a target landing position of a drone according to a sentence indicating a landing position generated by a user. Aspects including identifying an object type of an object contained in a captured image of a camera mounted on a mobile body; sentence analysis processing analyzes a sentence indicating a designated arrival position; word-corresponding subject selection processing collates results of the sentence analysis processing with the object identification processing and selecting a subject corresponding to a word included in the sentence indicating the designated arrival position from the captured image; and target arrival position determination processing extracts an area corresponding to the designated arrival position indicated by the sentence indicating the designated arrival position from the captured image on the basis of a result of word-corresponding subject selection processing, and area determination is made as target arrival position of mobile body.

A configuration is described that is capable of determining a target landing position of a drone according to a sentence indicating a landing position generated by a user. Aspects including identifying an object type of an object contained in a captured image of a camera mounted on a mobile body; sentence analysis processing analyzes a sentence indicating a designated arrival position; word-corresponding subject selection processing collates results of the sentence analysis processing with the object identification processing and selecting a subject corresponding to a word included in the sentence indicating the designated arrival position from the captured image; and target arrival position determination processing extracts an area corresponding to the designated arrival position indicated by the sentence indicating the designated arrival position from the captured image on the basis of a result of word-corresponding subject selection processing, and area determination is made as target arrival position of mobile body.