An autonomous mobile robot checking system comprises a transmission line, an unmanned aerial vehicle and an autonomous mobile device. The unmanned aerial vehicle is used for sensing stacked goods to generate sensing information. The autonomous mobile device is used for receiving the sensing information through the transmission line, and supplying power to the unmanned aerial vehicle through the transmission line to enable the unmanned aerial vehicle to sense the stacked goods. The autonomous mobile device provides a checking result for the stacked goods based on the sensing information.

Systems, methods, and apparatuses for performing an opening or closing security procedure at a provider location using an unmanned aerial vehicle (UAV) are described herein. An autonomous security system includes a UAV, a user device, and a UAV security system. The UAV security system includes a processing circuit structured to guide the UAV along a predetermined route within or near the provider location. The processing circuit is further structured to receive monitoring data associated with the provider location and its surroundings from the UAV, the monitoring data comprising ultra-wideband (UWB) data and radio-frequency identification (RFID) data. The processing circuit is further configured to identify a foreign object based on the monitoring data, determine that the foreign object is one of a security threat or a defect, and provide a notification to the user device regarding the one of the security threat or the defect.

A system for guiding an object using a robot is provided. The system includes a server and a robot. The server is configured to receive a request and a location of an object from a device of the object, instruct a vehicle to move to a first location based on the location of the object in response to receiving the request, obtain information about a second location related to a robot, and transmit information about the second location to the device of the object. The robot is configured to identify the object at the second location, and guide the object from the second location to the first location in response to identifying the object at the second location.

Techniques are described for using sensor-based objection recognition and property condition monitoring techniques to automate and improve methods of navigating a property during a property tour. In some implementations, sensor data is received from one or more sensors that are located within a property. Property data that identifies characteristics of the property is received. A model of the property is generated. Authentication data that identifies users who are authorized to access the property is received. Data identifying a visiting user is received. The data identifying the visiting user is compared to the authentication data. The visiting user is determined to be authorized to access the property. Preference data that indicates preferences of the visiting user is accessed. A path to guide the user around the property is generated based on the model of the property and the preferences of the visiting user.

A system for guiding an object using a robot is provided. The system includes a server and a robot. The server is configured to receive a request and a location of an object from a device of the object, instruct a vehicle to move to a first location based on the location of the object in response to receiving the request, obtain information about a second location related to a robot, and transmit information about the second location to the device of the object. The robot is configured to identify the object at the second location, and guide the object from the second location to the first location in response to identifying the object at the second location.

A rotorcraft including a fuselage, one or more motor-driven rotors for vertical flight, and a control system. The motors drive the one or more rotors in either of two directions of rotation to provide for flight in either an upright or an inverted orientation. An orientation sensor is used to control the primary direction of thrust, and operational instructions and gathered information are automatically adapted based on the orientation of the fuselage with respect to gravity. The rotors are configured with blades that invert to conform to the direction of rotation.

Systems and methods for deterring avian species from approaching a sensitive area. A determination is made that a bird is approaching a sensitive area. A predefined flight path is selected from a plurality of predefined flight paths based on the determination that the bird is approaching the sensitive area. Each of the predefined flight paths of the plurality of predefined flight paths is configured to avoid objects within the sensitive area. An unmanned aerial vehicle is instructed to traverse the predefined flight path that has been selected.

Techniques are described for using sensor-based objection recognition and property condition monitoring techniques to automate and improve methods of navigating a property during a property tour. In some implementations, sensor data is received from one or more sensors that are located within a property. Property data that identifies characteristics of the property is received. A model of the property is generated. Authentication data that identifies users who are authorized to access the property is received. Data identifying a visiting user is received. The data identifying the visiting user is compared to the authentication data. The visiting user is determined to be authorized to access the property. Preference data that indicates preferences of the visiting user is accessed. A path to guide the user around the property is generated based on the model of the property and the preferences of the visiting user.

An autonomous aerial vehicle for ventilating persons. The ventilation becomes necessary as a result of fires, accidents, or medical emergencies. In these and comparable cases, the aerial vehicle aids for ventilating a person quickly and independently of the transport links of a location or the traffic situation at the time so the state of the person is stabilized until the arrival of an emergency doctor or other rescue workers and the chances of survival improves. The aerial vehicle provides positional determination inside and/or outside buildings, recording of the surrounding area, ventilation of at least one person, and a communication method or mechanism.

An autonomous vehicle such as a drone or a robot is programmed or configured to respond to reports of alarm events or conditions within one or more spaces of a facility. The autonomous vehicle travels to a location of a reported alarm event or condition and captures data using onboard sensors. The autonomous vehicle independently determines whether the reported alarm event or condition is false, or is otherwise properly addressed by resources that are available at the location, using images or other data captured by the onboard sensors. Alternatively, the autonomous vehicle transmits a request for additional resources to be provided at the location, where necessary. A physical map of the location generated based on the images or other data captured by the onboard sensors may be utilized for any purpose, such as to make one or more recommendations of products that are appropriate for use at the facility.