Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.

Abstract: The disclosure provides systems and methods for monitoring and managing crops. Crop selection, planting, growth, and harvest are monitored based on sensor input as well as contextual information, allowing automated decisions and actions that increase efficiency at every stage of the farming process. Contextual information includes historical crop information and other statistics pertaining to a specific location under cultivation. Improved farm output and efficient use of resources are key results using the systems and methods.

Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.

Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.

Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.

Abstract: A system for controlling an unmanned aerial vehicle (UAV). The system includes a prosthetic limb configured to receive myoelectric control signals from a user. The unmanned aerial vehicle is configured to perform an action responsive to the myoelectric control signals received by the prosthetic limb. For example, the action responsive to the myoelectric control signals may include flying to retrieve an object, flying to activate a switch, and providing a temperature reading to the user.

Abstract: The disclosure provides systems and methods for monitoring and managing crops. Crop selection, planting, growth, and harvest are monitored based on sensor input as well as contextual information, allowing automated decisions and actions that increase efficiency at every stage of the farming process. Contextual information includes historical crop information and other statistics pertaining to a specific location under cultivation. Improved farm output and efficient use of resources are key results using the systems and methods.

Abstract: In an electronic lock authentication method using a drone, authentication information input by a person is received at an electronic lock, a first level verification of the authentication information is performed at the electronic lock, and a drone request signal is transmitted from the electronic lock to the drone. The drone request signal instructs the drone to proceed to the electronic lock and perform a second level verification of the person when the first level verification has passed. Further in the method, the second level verification of the person is performed with the drone, a grant access signal is transmitted from the drone to the electronic lock, the grant access signal instructs the electronic lock to unlock when the second level verification has passed, and the electronic lock is unlocked in response to the grant access signal.