Systems and methods of aircraft modal suppression informed by an underlying non-uniform vertical turbulence model and uniform lateral turbulence model. The systems and methods include receiving a plurality of signals from on-board inertial sensors of an aircraft, utilizing the plurality of signals to generate a plurality of observers, utilizing the observers to determine a control law command for controlling one or more control surfaces of the aircraft, and moving the one or more control surfaces of the aircraft in accordance with the determined control law command such that lateral mode vibrations of the aircraft are diminished.

Devices, systems, and methods for generating an emergency event spatial analysis are described herein. In some examples, one or more embodiments include a controller comprising a memory and a processor to execute instructions stored in the memory to receive a visual input from a first sensor and a spatial input from a second sensor, where the first sensor and the second sensor are located on an unmanned aerial vehicle (UAV), generate, based on the visual input and the spatial input, an emergency event spatial analysis, and display, via a user interface, the emergency event spatial analysis.

Disclosed is a configuration to control automatic return of an aerial vehicle. The configuration stores a return location in a storage device of the aerial vehicle. The return location may correspond to a location where the aerial vehicle is to return. One or more sensors of the aerial vehicle are monitored during flight for detection of a predefined condition. When a predetermined condition is met a return path program may be loaded for execution to provide a return flight path for the aerial vehicle to automatically navigate to the return location.

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.

A self-contained, low-cost, low-weight guidance system for vehicles is provided. The guidance system can include an optical camera, a case, a processor, a connection between the processor and an on-board control system, and computer algorithms running on the processor. The guidance system can be integrated with a vehicle control system through plug and play functionality or a more open Software Development Kit. The computer algorithms re-create 3D structures as the vehicle travels and continuously updates a 3D model of the environment. The guidance system continuously identifies and tracks terrain, static objects, and dynamic objects through real-time camera images. The guidance system can receive inputs from the camera and the onboard control system. The guidance system can be used to assist vehicle navigation and to avoid possible collisions. The guidance system can communicate with the control system and provide navigational direction to the control system.

A work vehicle including a device that receives positional information in a work site includes a correction information terminal that receives correction information for correcting the positional information from a base station located outside the work site, and a steering section for steering the vehicle. The correction information terminal displays an operation state of the correction information terminal and is disposed in the steering section.

A work vehicle including a device that receives positional information in a work site includes a correction information terminal that receives correction information for correcting the positional information from a base station located outside the work site, and a steering section for steering the vehicle. The correction information terminal displays an operation state of the correction information terminal and is disposed in the steering section.

In an embodiment a robot control apparatus includes at least one first sensor provided on a front of a head part of a robot including a wheel part and the head part connected to an upper portion of the wheel part, the first sensor being configured to sense a first distance from a ground, at least one second sensor provided on a rear of the head part and configured to sense a second distance from the ground and a controller configured to determine a driving environment of the robot based on at least one of the first distance or the second distance and adjust a control gain related to a balance control of the robot based on the determined driving environment.

An outdoor power equipment system includes a removable rechargeable battery module, a robotic lawn mower, and a portable power equipment. The robotic lawn mower includes a receptacle configured to receive the battery module, and an electric motor electrically coupled to the receptacle to receive electricity to drive at least one of a wheel and a cutting implement. The portable power equipment includes a receptacle configured to receive the battery module, and at least one of an electric motor, a light source, and an amplification circuit coupled to the receptacle to receive electricity.

One example method of operation may include identifying a likelihood of an object presence at one or more locations within a predefined distance of locations explored by a drone during one or more monitoring actions performed by the drone during a mission including a number of mission requirements, selecting one or more new monitoring actions to perform by the drone based on the likelihood of the object presence to satisfy the mission requirements, and performing the one or more new monitoring actions by the drone.