A threat response system including one or more UAVs for protecting a vehicle of an owner. The one or more UAVs may be located in a docking station within a trunk of the vehicle. The threat response system may launch the one or more UAVs in response to detecting an intruder in a vicinity of the vehicle. The threat response system may further classify an occurring event by analyzing data received from the one or more UAVs with a machine learning system trained on data in an event database, with the event database storing one or more predicted events each corresponding to an event where the vehicle is vandalized, broken into, and/or stolen by the intruder. The threat response system may further select one or more UAV response operations from a response plan database to address the occurring event based on the classification of the occurring event.

A threat response system including one or more UAVs for protecting a vehicle of an owner. The one or more UAVs may be located in a docking station within a trunk of the vehicle. The threat response system may launch the one or more UAVs in response to detecting an intruder in a vicinity of the vehicle. The threat response system may further classify an occurring event by analyzing data received from the one or more UAVs with a machine learning system trained on data in an event database, with the event database storing one or more predicted events each corresponding to an event where the vehicle is vandalized, broken into, and/or stolen by the intruder. The threat response system may further select one or more UAV response operations from a response plan database to address the occurring event based on the classification of the occurring event.

Systems and methods for managing an execution of an action strategy by an autonomous system are disclosed. The action strategy comprises a series of actions to be performed by the autonomous system to accomplish a corresponding active objective. The method comprises identifying, by a processor of the autonomous system, an active objective to be accomplished by the autonomous system, the active objective describing a hierarchy of actions to be performed to accomplish the corresponding active objective. The method comprises generating, by the processor, an action strategy from the hierarchy of actions of the active objective, the actions of the action strategy corresponding to the actions of the hierarchy of actions of the active objective and executing the action strategy. Upon completion of an execution of an action, the processor provides data comprising information relating to a state of completion of the action strategy.

A system and a method for generating a navigation path for an autonomous system. The method comprises receiving data comprising characteristics of entities, the entities defining an environment in which the autonomous system is configured to operate; receiving first instructions causing the autonomous system to identify a destination in the environment; generating a navigation path comprising waypoints to be followed by the autonomous system to reach the destination, the waypoints being generated based on the characteristics of the entities and defining segmental paths; executing second instructions causing the autonomous system to navigate along the navigation path; and upon navigating from a first waypoint to a second waypoint: accessing updates of the characteristics of the entities located in a vicinity of a corresponding segmental path; generating a sub-path between the first waypoint and the second waypoint based on second information; and navigating along the sub-path to reach the second waypoint.

A system and a method for generating a navigation path for an autonomous system. The method comprises receiving data comprising characteristics of entities, the entities defining an environment in which the autonomous system is configured to operate; receiving first instructions causing the autonomous system to identify a destination in the environment; generating a navigation path comprising waypoints to be followed by the autonomous system to reach the destination, the waypoints being generated based on the characteristics of the entities and defining segmental paths; executing second instructions causing the autonomous system to navigate along the navigation path; and upon navigating from a first waypoint to a second waypoint: accessing updates of the characteristics of the entities located in a vicinity of a corresponding segmental path; generating a sub-path between the first waypoint and the second waypoint based on second information; and navigating along the sub-path to reach the second waypoint.

Methods of and systems for knowledge-based reasoning to establish a list of active objectives by an autonomous system. The method comprises accessing a list of active objectives; accessing a first database populated with static environment properties, the static environment properties defining properties of entities, the entities defining an environment in which the autonomous system is configured to operate; accessing a second database populated with dynamic environment properties comprising third computer-readable instructions generated by the autonomous system based on events having been observed by the autonomous system. Upon observing a new event, a new dynamic environment property is generated based on the new event and coherence checking is executed to assess whether the new dynamic environment property conflicts with at least one of the static environment properties, and, if so, the new dynamic environment property being identified as incoherent.

A breeding robot including a base and a support being movably connected to the base. The support is of a hollow cylindrical structure, a telescopic arm movably passes through the support, a first motor is mounted to an end of the telescopic arm away from the support, a transmission shaft of the first motor is connected to a rotating bracket, a saw blade is mounted to the bottom side of the rotating bracket, and the saw blade is used for cutting maize tassel. The end of the rotating bracket is mounted with a CCD detector, and the CCD detector is used for detecting the position of the maize tassel. A blower is further mounted to the base, an air outlet of the blower is connected to a first end of an air duct, and a second end of the air duct is connected to the air blowing portion.

A breeding robot including a base and a support being movably connected to the base. The support is of a hollow cylindrical structure, a telescopic arm movably passes through the support, a first motor is mounted to an end of the telescopic arm away from the support, a transmission shaft of the first motor is connected to a rotating bracket, a saw blade is mounted to the bottom side of the rotating bracket, and the saw blade is used for cutting maize tassel. The end of the rotating bracket is mounted with a CCD detector, and the CCD detector is used for detecting the position of the maize tassel. A blower is further mounted to the base, an air outlet of the blower is connected to a first end of an air duct, and a second end of the air duct is connected to the air blowing portion.

A self-propelled adaptor unit for use in the intralogistics system. The self-propelled adaptor unit comprising a motor, and at least one drive wheel connected to the motor for propelling the self-propelled adaptor unit. The self-propelled adaptor unit further comprises a first mechanical connection configured to connect to a mechanical connection of a load bearing unit, such that a first mechanical interconnection can be created between the self-propelled adaptor unit and the load bearing unit. The self-propelled adaptor unit further comprises a computer connected to the motor and the at least one drive wheel, the computer comprises a receiver for receiving instructions from a self-propelled autonomous or remote-controlled guide unit for controlling the motor. The self-propelled adaptor unit is configured to push or pull the load bearing unit in a substantially horizontal direction and/or lift the load bearing unit up or down.

A self-propelled adaptor unit for use in the intralogistics system. The self-propelled adaptor unit comprising a motor, and at least one drive wheel connected to the motor for propelling the self-propelled adaptor unit. The self-propelled adaptor unit further comprises a first mechanical connection configured to connect to a mechanical connection of a load bearing unit, such that a first mechanical interconnection can be created between the self-propelled adaptor unit and the load bearing unit. The self-propelled adaptor unit further comprises a computer connected to the motor and the at least one drive wheel, the computer comprises a receiver for receiving instructions from a self-propelled autonomous or remote-controlled guide unit for controlling the motor. The self-propelled adaptor unit is configured to push or pull the load bearing unit in a substantially horizontal direction and/or lift the load bearing unit up or down.