G05D2109/20

ROLL-BIASED SKID-TO-TURN TERMINAL GUIDANCE WITH RUDDER INTEGRATOR FEEDBACK
20240264607 · 2024-08-08 ·

Systems, devices, and methods for an aircraft autopilot guidance control system for guiding an aircraft having a body, the system comprising: a processor configured to determine if a yaw angle difference and a pitch angle difference meet corresponding angle thresholds; a skid-to-turn module configured to generate a skid-to-turn signal if the corresponding angle thresholds are met; a bank-to-turn module configured to generate a bank-to-turn signal having a lower bandwidth than the generated skid-to-turn signal; a rudder integrator module configured to add a rudder integrator feedback signal to the bank-to-turn signal, where the rudder integrator feedback signal is proportional to a rudder integrator; and a filter module configured to filter the generated bank-to-turn signal, wherein the filter module comprises a low-pass filter configured by a set of gains to pass the bank-to-turn signal if a side force on the body meets a side force threshold.

Systems and methods for configuring field devices using a configuration device

A system and method is disclosed for configuring a group of mobile field devices using a configuration device (an HMI) is provided. In particular, the HMI is programmed to configure identically programmed field devices that are arbitrarily arranged in an application-dependent formation by defining and providing configuration parameters to the devices via wired and/or wireless communication. In particular, the HMI assigns a unique identifier to respective robots as a function of the position of the robot within the formation or the layout of the environment. Accordingly each robot can be efficiently configured by the HMI to operate independently yet as a coordinated member of the group and without requiring the robots to be placed in specific positions during the initial deployment. This obviates the need for constant independent control commands for each robot by a central controller or providing a customized control program to each robot during deployment.

FLIGHT MANAGEMENT SYSTEM FOR AN AIRCRAFT

A flight management system for an aircraft, includes a critical first avionics module for trajectory calculation, i.e. a module the integrity level and availability level of which are specified by regulatory standards in force, delivering as output a safe trajectory, based on a flight plan; a second module for trajectory calculation that is less critical than the critical first module, i.e. a module the integrity level and availability level of which are lower than those of the first module, delivering as output an improved trajectory that is less safe than the trajectory delivered by the critical first avionics module, based on a flight plan; a critical avionics module for trajectory verification, configured to validate or invalidate the safety of the less safe improved trajectory; and a critical avionics module for decision-making configured to select a trajectory from the safe trajectory and the less safe trajectory.

MOBILE OBJECT CONTROL SYSTEM, INFORMATION PROCESSING APPARATUS, AND MOBILE OBJECT
20240319739 · 2024-09-26 ·

A mobile object control system, an information processing method, and a mobile object. The mobile object control system includes one or more mobile objects, an information processing apparatus communicable with the one or more mobile objects, and control the one or more mobile objects. The information processing apparatus includes first circuitry configured to store area information including past event occurrence history information of an area to be searched and weather information regarding the area, determine a designated area to search based on the area information and the weather information, and control the movement of at least one of the one or more mobile objects based on the designated area. The one or more mobile objects include second circuitry configured to detect an occurrence of an event while moving in the designated area, and send a notification in case that detecting the occurrence of the event.

Layer Approach to Managing Airspace of Large Groups of Drones
20240319748 · 2024-09-26 · ·

A method for coordinating drones flying in a divided airspace that includes sending patrol instructions to each drone of a set of airborne drones in a divided airspace, where the divided airspace includes mutually exclusive horizontal layers having a ceiling altitude and a floor altitude and at least one transition space layer, where the layers comprise sectors, where the patrol instructions direct the drone into a flight path in a sector, sending first transition instructions to a first drone, where the transition instructions direct the first drone to move from its sector to a transition space layer and from the transition space layer to exit the divided airspace, sending second transition instructions to a second drone, where the second transition instructions direct the second drone to move from outside the divided airspace to a transition space layer and from the transition space layer to the sector of the first drone.

AUTONOMOUS MOVING APPARATUS
20240310854 · 2024-09-19 ·

An autonomous moving apparatus is an apparatus that autonomously moves toward a target object set in advance, and includes a plurality of radio wave receiving units that receive a radio wave transmitted from the autonomous moving apparatus or an external device, a radio wave prevention unit that blocks or absorbs a radio wave from a predetermined direction when viewed from the radio wave receiving units, a movement direction setting unit that sets a movement direction of the autonomous moving apparatus based on a measurement result by the plurality of radio wave receiving units, and an operation control unit that controls the autonomous moving apparatus to travel in the movement direction set by the movement direction setting unit.

SYSTEMS AND METHODS FOR MATERIAL ASSESSMENT
20240311775 · 2024-09-19 · ·

A system for assessing condition of materials. The system includes a scanning device including a scanning vehicle and one or more scanning sensors and a control device in electronic communication with the scanning device. The control device includes one or more processors and a memory containing processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to transmit instruction to the scanning vehicle to move with respect to a structure, transmit instructions to the one or more scanning sensors to capture data associated with one or more materials of the structure, receive sensor data from the one or more scanning sensors, and, based on the sensor data, determine a condition of each of the one or more materials of the structure.

ADAPTIVE Q LEARNING IN DYNAMICALLY CHANGING ENVIRONMENTS

Systems, methods, and computer-readable media for dynamic changes to both a learned control policy in the event of a change in the environment (e.g., introduction of a new or unseen obstacle). Rather than having to implement an entirely new policy (and a new global Q table), which can delay performance of tasks by agent(s), the present embodiments allow for a reduced delay in updating local Q table(s) based on detection of a new change in the environment. Locally changing the policy allows for more efficient updating of the policy based on changes in the environment, rather than globally changing the Q table after each change. Particularly in an event with multiple changes in the environment, the present embodiments increase efficiency in updating local and global Q tables while also reducing a delay in providing new instructions to the agent(s) in completing tasks.

APPARATUS AND METHOD FOR DETECTING INDOOR ENVIRONMENT USING UNMANNED MOBILE VEHICLE

Provided is a method of operating an unmanned mobile vehicle for detecting an indoor environment. The method according to an embodiment of the present disclosure includes obtaining first motion information using a LiDAR sensor provided on the unmanned mobile vehicle, obtaining second motion information using an inertial sensor provided on the unmanned mobile vehicle, performing correction on the first motion information and the second motion information on the basis of error models corresponding to the LiDAR sensor and the inertial sensor, and determining final position information of the unmanned mobile vehicle on the basis of the correction.

METHOD AND SYSTEM FOR CALCULATING AN EXIT TRAJECTORY FOR AN AIRCRAFT FROM A WEATHER ALERT SITUATION
20240310853 · 2024-09-19 ·

An automatic trajectory generation method for an aircraft in flight to exit a meteorological alert situation which: obtains polygons representative of meteorological obstacles; defines two circles centered to the right and to the left with respect to a current in-flight position, of a minimum radius in accordance with the operational state of the aircraft; identifies, for each polygon, candidate external sides for the aircraft to exit; defines straight lines perpendicular to the candidate external sides and tangent to one or both of the circles; determines, for each straight line, a candidate safety position, which is located at a margin distance outside any polygon; forms candidate exit trajectories between the current in-flight position and each candidate safety position; and selects the candidate trajectory which minimizes a time of exposure of the aircraft to any meteorological obstacle. Also a system and an aircraft with such a system.