A system for the securing of a load handling environment of load handling kinematics (30) in a changing working environment includes an environment sensing unit, which is designed to acquire data of the load handling environment and an environment monitoring unit that is in an operational connection with the environment sensing unit. The environment monitoring unit is designed to analyze the data so that an open space (7) surrounding a load to be handled, a work space (12, 13, 14, 60) defined by a movement space of the load handling kinematics (30) and a process space (40, 50) is determined by addition of the work space (12, 13, 14, 60) and a distance space. The environment monitoring unit is configured to at least partly monitor the distance space and/or the process space (40, 50).

A technique for detection of an obstacle by a UAV includes arriving above a location at a first altitude by the UAV; navigating a descent flight pattern from the first altitude towards the location; acquiring aerial images of the location below the UAV with a camera system disposed onboard the UAV; and analyzing the aerial images with a machine vision system disposed onboard the UAV that is adapted to detect a presence of the obstacle in the aerial images. The descent flight pattern is selected to increase perception by the machine vision system of the obstacle.

The invention is intended for organizing the process of targeted delivery of small doses of liquid chemical treatment agents from unmanned aerial vehicles, for example, in precision agriculture or animal husbandry. Delivery of the required dose of liquid chemical treatment agents to the required application area by series of one or more targeted ejections of a continuous, and optimally laminar, jet from the unmanned aerial vehicle in flight, according to the method and/or delivery system according to the invention, is performed without significant deflection of the liquid and its losses outside the application area compared to known methods and spraying devices, and, therefore, more environmentally friendly and economical; and the application system has a minimal negative impact on the application areas and ensures the motion of unmanned aerial vehicles along optimal and safe routes.

Various embodiments of the present disclosure provide systems and methods for aerial-based firefighting using a suspended autonomous fire extinguisher.

Systems and methods for controlling vegetation growth along a right-of-way via a vehicle. In an embodiment, a method may include determining a portion of a right-of-way to traverse. The method may include determining a flow rate per vehicle speed threshold. The method may include initiating operation of the vehicle. The method may include during operation of the vehicle and as the vehicle traverses the portion of the right of way, determining a current speed of the vehicle and a current flow rate for an operating nozzle. The method may include, if the current speed of the vehicle and the current flow rate for the operating nozzle exceeds the flow rate per vehicle speed threshold, adjusting one or more of (a) the flow rate of the operating nozzle or (b) the current speed of the vehicle.

The present invention provides a cable planning method based a fast marching method applied with simulated annealing (FMM/SA) algorithm. In the FMM/SA algorithm-based cable planning method, the FMM used to obtain the optimal submarine cable path with the lowest life-cycle cost, and the SA algorithm is used to continuously adjust the weight of each design consideration with the aim to achieve an optimal cable path that is as close as possible to a real-life cable path which has a history of cost-effectiveness and resilience. The set of weights contributed to the optimal cable path is then used as an optimal set of weights of design considerations for cable path planning. The FMM/SA algorithm-based cable planning method can provide a computationally effective approach which has lower computation costs and better performance in generating cable paths with optimal life-cycle cost and reliability.

A method for automatically path planning for optimizing a path of a machinery moving in an area, comprises the steps of: taking coordinates of an area contour, a working width of the machinery operating in the area, a mathematical description of the dynamics of the machinery operating in the area in form of a system of nonlinear differential equations, determines segments along the headland path which are not feasible with respect to dynamics of the machinery or whose traversal would result in area coverage gaps. A mathematical algorithm is used with a hierarchical two-step framework in combination with a special coordinate transformation from a time into a spatial domain to formulate geographic high-precision constraints. The hierarchical two-step framework addresses two objectives: a generation of headland paths and a generation of smooth transitions between headland path and mainfield lanes, whereby the first hierarchical step varies for the two objectives.

The present disclosure belongs to a field of UAVs exploration technology, discloses a high-efficient autonomous exploration method, system, and terminal for UAVs, comprising: S1, heuristic waypoint generation: setting an exploration scope and waypoint spacing, and generating waypoints through waypoint generation algorithms; S2, global path planning: after generating heuristic waypoints, an A * algorithm is used to generate the global planning path; S3, real-time positioning and mapping: using point clouds for real-time positioning and mapping; S4, local B-spline trajectory generation: using B-spline parameterization method to generate local trajectories; S5, real-time obstacle avoidance and dynamic feasibility constraints: optimizing the trajectories to achieve fast convergence, generating smooth, collision-free, and dynamically feasible trajectories; S6, local real-time replanning: using a time sliding window for local replanning; S7, flight control: Using UAV control algorithms for controlling of UAVs robustly.

A smart lawnmower and system and method for use of the same are disclosed. In one embodiment of the smart lawnmower, in a real world-to-simulated world (real-to-sim) training phase, the smart lawnmower constructs a simulated environment corresponding to a mowing-relevant portion of a real-world environment relative to semantic information, which may include received location signalization at an antenna In a simulated world-to-real world (sim-to-real) mowing phase, a mowing policy is applied to control the cutting subsystem and the drive subsystem in response to the semantic information, which may include the location signalization. In each of the real-to-sim training phase and the sim-to-real mowing phase, the smart lawnmower may provide a user interface including the simulated environment. Further, in the sim-to-real mowing phase, the smart lawnmower may synchronize the real world and the simulated world.

A system for the securing of a load handling environment of load handling kinematics (30) in a changing working environment includes an environment sensing unit, which is designed to acquire data of the load handling environment and an environment monitoring unit that is in an operational connection with the environment sensing unit. The environment monitoring unit is designed to analyze the data so that an open space (7) surrounding a load to be handled, a work space (12, 13, 14, 60) defined by a movement space of the load handling kinematics (30) and a process space (40, 50) is determined by addition of the work space (12, 13, 14, 60) and a distance space. The environment monitoring unit is configured to at least partly monitor the distance space and/or the process space (40, 50).