172results about "Target-seeking control" patented technology

An estimated target position is generated based on agent data received from an agent sensor system of a reinforcement learning (RL) agent and teammate data received from a plurality of teammate RL agents. An information metric reward is generated based on a confidence level associated with the estimated target position. The confidence level is based on the estimated target position and historical estimated target positions. A distance metric reward is generated based on an agent position and the estimated target position. A combined reward is generated based on the information metric reward and the distance metric reward. A movement action is generated for the RL agent based on the agent position, the estimated target position, and the combined reward in accordance with a multi-agent reinforcement learning (MARL) algorithm.

A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

A handheld module including a battery, an electro-mechanical interface, and a display. The electro-mechanical interface is configured to attach the handheld module to an image capture module, wherein when attached to the image capture module, the handheld module forms a communication link to the image capture module via the electro-mechanical interface and supplies power from the battery to the image capture module via conductors of the electro-mechanical interface. The display is configured to present images captured by the image capture module and received from the image capture module via the communication link.

The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

An unmanned ground vehicle (UGV) includes one or more motors configured to drive one or more wheels of the UGV, an obstacle sensor, a memory storing instructions, and a processor coupled to the one or more motors, the obstacle sensor, and the memory. The processor is configured to execute the instructions to cause the UGV to obtain location information of multiple navigation points; calculate a navigation path based on the obtained location information; drive the one or more motors to navigate the UGV along the navigation path; detect, by the obstacle sensor, whether one or more obstacles exist while navigating the UGV, and if detected, determine location information of the one or more obstacles; and if the one or more obstacles are detected by the obstacle sensor, update the navigation path based on determined location information of the one or more obstacles.

A system for neutralizing target aerial vehicles comprises a projectile launching mechanism that launches a projectile that supports a counter-attack unmanned aerial vehicle (UAV) having an aerial vehicle countermeasure. The counter-attack UAV can be folded in the projectile, and operable to unfold when separated from the projectile. The system comprises an aerial vehicle detection system comprising a detection sensor that detects a target aerial vehicle. Upon detection, the projectile launching mechanisms launches the projectile, and the counter-attack UAV is thereafter separated from the projectile to operate in flight to neutralize the detected target aerial vehicle with the aerial vehicle countermeasure. The projectile launching mechanism can comprise a movable platform comprising a plurality of projectiles and counter-attack UAVs, and can comprise a detection sensor to detect target aerial vehicles.

Light emitting device positional tracking systems and methods are provided. In one example, a method includes receiving images captured of a target location comprising a plurality of light emitting devices, where each of the light emitting devices has an associated blinking pattern. The method may further include detecting the blinking pattern for each of the light emitting devices in the images. The method may further include determining a classification for each of the light emitting devices based on its detected blinking pattern. The method may further include aligning a mobile platform with the target location based on the classifications of the light emitting devices. Related devices and systems are also provided.

Method for defending an area from vehicular threats in the area's vicinity, comprising detection of threat scenarios including vehicular threats in the area's vicinity in real time or near-real time; and / or controlling multiple interceptors to intercept at least some of the vehicular threats as detected; and / or using a machine learning hardware processor, trained on training data which may pair scenario outcomes to given mission plans which operated on given threat scenarios, to generate at least one mission plan for the interceptors, and / or to feed said mission plans to the interceptor control processor, in real time.

The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

In some examples, a first device includes multiple fixed first cameras and a movable second camera. A processor is configured to receive, from at least one of the fixed first cameras, a plurality of first images of an airspace corresponding to an area of operation of an unmanned aerial vehicle, and detect, based at least on the first images, a candidate object approaching or within the airspace. Based on detecting the candidate object, the processor controls a movable second camera to direct a field of view of the movable second camera toward the candidate object. Based on one or more second images from the movable second camera captured at a first location and one or more third images from a third camera captured at a second location, the processor may determine that the candidate object is an object of interest and perform at least one action.

To avoid the occurrence of a dead angle caused by a delay in the rotation around an azimuth axis.SOLUTION: An orientation tracking device according to the present disclosure includes: an arm-type support structure which is connected rotatably around an azimuth axis to a base structure; a barrel which has an aperture being a transmitting / receiving port for laser beams and is held by the arm-type support structure rotatably around an elevation axis with respect to the arm-type support structure; a prism which has an optical axis inclined relative to the central axis of the aperture and is attached to the barrel rotatably around the central axis of the aperture; and a control processing device which controls the rotation angles of the arm-type support structure, the barrel, and the prism so that the laser beam passing through the prism tracks the trajectory of a target object in the sky.SELECTED DRAWING: Figure 1

An aircraft includes at least one processor, and at least one memory including computer program code, where the at least one memory and the computer program code are configured, with the at least one processor, to cause the aircraft to at least: in response receiving a first input, control the aircraft to effect an autonomous flight using a first parameter and a second parameter, and during the autonomous flight, in response to receiving a second input, modify the first parameter to obtain a modified first parameter, and control the aircraft to continue the autonomous flight based on the modified first parameter and the second parameter. The first parameter and the second parameter are associated with an autonomous process of the aircraft to achieve a task of the autonomous flight. The second parameter is unchanged.

A closed, self-contained ballistic apogee detection module for use in a projectile, such as a rocket, mortar round, or artillery round, fuses data from multiple built-in sensors, such as an accelerometer, a magnetometer, and a gyroscope, and processes the data using a microprocessor through a custom quaternion extended Kalman filter to provide accurate state and orientation information about the projectile so as to accurately predict apogee. The module outputs a signal indicating apogee detection or prediction which they projectile uses to initiate fuze arming, targeting control, airbody transformation, maneuvering, flow effector deployment or activation, payload exposure or deployment, and / or other mission activity. Because the system and method of the invention does not rely on external environmental data to detect apogee, it need not use a pressure sensor and can be completely sealed in and closed without requiring access to air from outside the projectile for barometric readings.

The UAV 1a includes a dust sensor 16 and a dust-preventing function 17 and performs a processing for a different UAV 1b not provided with a dust-preventing function on the basis of a dust amount detected by the dust sensor 16 during a flight of the UAV 1a.

An autonomous unmanned aerial vehicle (10) comprising an airframe body; at least one flight system mounted to the airframe body(12); an onboard flight controller (18) which is adapted to control the or each flight system; a memory storage unit having machine-readable flight control instructions which are implementable by the onboard flight controller; an onboard feedback system which is communicatively coupled with the or each flight system to provide real-time internal flight characteristic data to the onboard flight controller(18); and an external feedback system adapted to receive and provide to the onboard flight controller (18) real-time external flight characteristic data; wherein the onboard flight controller (18) is arranged to receive mission parameter data from an external source, determine a pre- take-off flight plan in accordance with the mission parameter data, and dynamically implement the machine-readable flight control instructions to adapt the pre-take-off flight plan to control the or each flight system based on the real-time internal flight characteristic data and real-time external flight characteristic data.

An unmanned aerial vehicle (“UAV”) having an envelope and a drone body capable of delivering packages is disclosed. Methods for utilizing UAVs to deliver packages and systems for housing UAVs are also disclosed. In one aspect, a UAV includes a dual cavity envelope having an ellipsoid shape with a first internal cavity and a second internal cavity, the first internal cavity configured to hold a lighter than air gas, the second internal cavity configured to hold a heated gas, and a drone body attached to and located below the dual cavity vertical envelope.

The present invention discloses a reentry tracking guidance method for an aircraft based on a reinforcement learning algorithm, which is used to solve the problems of high dependence on the system model, poor adaptability and guidance performance in the prior art. The implementation scheme is as follows: establishing the continuous optimal control problem of aircraft reentry in the semi-speed coordinate system; transforming the continuous optimal control problem of aircraft reentry into a sequential convex optimal control problem; transforming the sequential convex optimal control problem into a sequential second-order cone programming problem; solving the sequential second-order cone programming problem to obtain the optimal bank angle of the aircraft; sampling the optimal bank angle trajectory to obtain a reference trajectory training data set; constructing a neural network and a reward function; using the training data set to perform offline training on the neural network until the cumulative reward converges to the maximum value to obtain a guidance network; obtaining the reentry guidance command of the aircraft online through the guidance network and tracking the target altitude in real time. The present invention has strong adaptability and high guidance accuracy, and can be used for rocket recovery.

A system for generating electrical energy, for instance at an agricultural site. The system includes at least one mobile robot, referred to as “collecting robot” and a plurality of mobile robots, referred to as “producing robots”. Each collect robot includes at least one input port adapted for coupling with an output port of a producing robot and an output port for outputting electrical energy received from each producing robot coupled with the collecting robot. Each producing robot includes a photovoltaic generator, at least one input port adapted for coupling with an output port of another producing robot, and at least one output port for outputting electrical energy generated by the producing robot and received from each other producing robot coupled with the producing robot.

A system comprising an unmanned aerial vehicle (UAV) (100) configured to transition (520) from a terminal homing mode (510) to a target search mode (530), responsive to an uplink signal (451) and / or an autonomous determination of scene change.

The present disclosure relates to a positioning control method, a positioning control apparatus, an autonomous charging control apparatus, an autonomous charging control method, and an autonomous charging system. The positioning control apparatus includes: a distance determination component configured to determine whether a distance between a movable device and a target device is less than a first threshold; a long distance navigation component configured to guide, under a condition that the distance is not less than the first threshold, the movable device to move to the target device based on navigation; and a short distance accurate recognition component configured to recognize, under a condition that the distance is less than the first threshold, a position of the target device by a laser accurate recognition approach based on principal component analysis.

This invention provides a method for UAV obstacle avoidance trajectory planning based on digital elevation maps, including digital elevation map conversion, initial trajectory loading, trajectory pre-planning, and trajectory re-planning. Using this invention, UAV obstacle avoidance trajectory planning can fully consider terrain variations during low-altitude flight missions to achieve ground-hugging flight. Simultaneously, this method first performs offline trajectory pre-planning and uploads the planned trajectory to the flight controller to provide flight guidance, effectively solving the problem of low real-time performance. When obstacles or threat areas appear on the pre-planned trajectory, the method provided by this invention can find the vertices of obstacles with complex shapes, handle obstacle overlap issues, and thus quickly plan a flight path.

The present application relates to a device, a system, a method and a recording medium. A device is provided, comprising: an acquisition unit, which acquires a camera image from a camera whose direction can be controlled; a display control unit, which displays the camera image on a display screen; a detection unit, which detects a subject being viewed by a user in the display screen; and a direction changing unit, which changes the direction of the camera so that the subject does not leave the camera's camera area.

There is provided a toy, including a ball chasing robot including: a controller configured to receive power from a battery a plurality of infrared sensors configured to detect infrared radiation emitted by a satellite object, the plurality of infrared sensors connected to the controller; a motor configured to drive a wheel arrangement, the wheel arrangement including at least two drive wheels, wherein: the controller is configured to control the motor and wheel arrangement to drive the ball chasing robot towards the infrared radiation emitted by the satellite object detected by the plurality of infrared sensors; wherein the ball chasing robot includes a plurality of settings, including: a play setting, wherein the controller is configured to control the motor, such that the ball chasing robot is driven towards the source of the infrared radiation emitted by the satellite object, and a sleep setting wherein the controller is configured to turn off the plurality of sensors, wherein the sleep setting is entered automatically after a period of inactivity; and / or: a hard floor setting, wherein the motor is configured to drive the wheel arrangement at a first power setting, and a carpet setting, wherein the motor is configured to drive the wheel arrangement at a second power setting.

The present application belongs to the field of aircraft / unmanned aerial mission planning, and is a planning and parameter adjustment method based on graphics. In the parameter adjustment process of attack planning, the input parameters are first set, and the parameters are solved by a fire control solution model and then displayed in a graphical manner. Then, the graphics are adjusted by manually rotating the graphics so that the parameters in the graphics change, and then a new graphics is obtained by solving the model. Compared with the method of manually inputting parameters, it is simpler and more convenient, and the parameters can be adjusted quickly, shortening the planning time. At the same time, the way of changing the graphics can intuitively reflect the impact of parameter adjustment on the planning results; and under this parameter adjustment method, the human-computer interaction experience is better.

The present invention discloses a charging base, a robot recharging system and a recharging method based on a magnetic sensor, comprising a base, the bottom of which is provided with a preset charging position and a tracking guide element for robot recharging docking, which restricts the recharging robot to move forward within the signal sensing range generated by the tracking guide element, so that the recharging direction of the robot is guided to approach the center line of the tracking guide element until the robot moves to the preset charging position; wherein the signal sensing range is the range of the signal generated by the tracking guide element; the bottom of the base is provided at the lower end of the base in contact with the ground. When the robot enters the range of the signal generated by the tracking guide element, a circuitous recharging path is planned based on the straight line where the tracking guide element is located, thereby improving the guiding efficiency of the charging base, and compared with the prior art, the structure of the charging base is simple, and the recharging guide signal generated at the bottom of the charging base is less subject to interference.

A vehicle to transport a first drone and a second drone includes a controller. The controller is configured to release the first drone from the vehicle with instructions for the first drone to move a package container to a package container reception point. The controller is configured to release the second drone from the vehicle. The second drone is configured to provide data to the first drone. The data is related to a route from the vehicle to the package container reception point.

The present invention discloses a spacecraft wreckage search and rescue identification and tracking method based on a neural network, comprising: determining the theoretical landing point of the spacecraft wreckage, planning a search area, and controlling an aircraft to move to the search area; controlling the aircraft to move in the direction of the actual landing point of the spacecraft wreckage and capturing images in real time during the movement; using a multi-scale image neural network model to perform real-time identification and detection on the acquired images to determine whether there is spacecraft wreckage in the image; if so, adjusting the direction of the aircraft in real time according to the position of the detection target in the image, and controlling the aircraft to move above the detection target; determining whether the confidence level of the current detection result is greater than a preset threshold, and if so, confirming whether the detection target is spacecraft wreckage; if not or the detection target is not spacecraft wreckage, leveling the aircraft's camera and continuing to control the aircraft's movement. The present invention can achieve rapid search for spacecraft wreckage, effectively narrow the search range, and improve search efficiency.

The neutralisation system (1) comprises a drone (2) configured to be able to fly close to a target and transmit at least position information concerning the position of the target, the neutralisation system (1) also comprising at least one missile (6) capable of being guided towards the target in order to neutralise it and at least one control station (8), the control station (8) comprising a receiving unit (9B) capable of receiving at least the position information transmitted by the drone (2) and a display unit (10A) capable of displaying this information to an operator, the missile (6) being configured to be able to be guided towards the target by means of the position information received by the control station (8).

Systems, methods, and devices are provided herein for effecting autonomous flight of one or more unmanned aerial vehicles (UAV), and modifying the autonomous flight. In some instances, the autonomous flight may be effected via a first user input. The autonomous flight may modified by a second user input while maintaining the autonomous flight. The first and second inputs may be input at different user interfaces. Various parameters of the UAV, including a flight path, may be modified while maintaining the autonomous flight such that user is assisted and maintains a degree of control of the UAV during the autonomous flight.

A system including an image capture module and a handheld module. The image capture module includes a body; an image sensor; and a mechanical stabilization system comprising a first gimbal, a second gimbal, and a third gimbal connected to the body and configured to control an orientation of the image sensor of the image capture module relative to the body. The handheld module defines a slot that is keyed to the body of the image capture module. The image capture module, when located within the handheld module, has a low profile so that the third gimbal is protected from damage by the handheld module.