6results about How to "Improve obstacle avoidance efficiency" patented technology

The application provides a low-altitude terrain following flight path guiding method for unmanned helicopters, and is based on an enhanced vector field histogram algorithm and on-board laser radar spatial gridding data, and proposes a low-altitude terrain following flight path guiding method for unmanned helicopters in a three-dimensional space, introduces unmanned aerial vehicle flight performance constraints and safe flight standards, constructs a safe flight pipeline model for unmanned helicopters, designs a laser radar gridding detection information partial loss filling model based on a first-order model, fully utilizes the detection information of the on-board laser radar, guarantees the robustness of algorithm solving and the safety of calculation results, and meets the obstacle avoidance requirements in a three-dimensional space in a complex and severe flight environment. According to the on-board laser radar detection data and the safe flight constraints of the unmanned helicopter, the application can realize the calculation of optimal flight waypoints for the low-altitude terrain following flight path guiding of the unmanned helicopter.

The present disclosure relates to the technical field of intelligent device control, and provides a control method and device for a surface cleaning device. The method comprises: acquiring an obstacle detection signal on a current travel route of the surface cleaning device; determining an obstacle type of an obstacle corresponding to the obstacle detection signal according to the obstacle detection signal and a reference detection signal; and controlling a cleaning component of the surface cleaning device according to the obstacle type of the obstacle corresponding to the obstacle detection signal.

The invention relates to the field of robots, in particular to a robot, an emergency obstacle avoidance method and device thereof and a program product. The method comprises the following steps: predicting state information of the robot; performing external expansion based on the state information of the robot to obtain a dangerous area and an alarm area corresponding to the robot; detecting the positions of obstacles in the alarm area and the dangerous area; and determining the moving speed of the robot according to a preset corresponding relation between the position of the obstacle and the moving speed, and carrying out emergency obstacle avoidance based on the moving speed. The method does not need to re-plan and calculate, is beneficial to improving the obstacle avoidance efficiency, reduces the out-of-control probability of the robot, and improves the working efficiency and safety of the robot.

The application discloses a mechanical arm singular point avoidance method, system, device and storage medium, and technical scheme points thereof are as follows: acquiring a pose and a joint angle of a mechanical arm; judging whether to enter a singular region and a singular type according to the pose and the joint angle; performing first-level processing in the case of a wrist singular type, performing second-level processing in the case of a shoulder singular type, and performing third-level processing in the case of an elbow singular type. The application can improve obstacle avoidance efficiency, ensure motion stability and reduce calculation complexity.

The application is suitable for the technical field of dynamic path planning, and particularly relates to an industrial robot dynamic path planning learning method and system.The method comprises the following steps: S100: demarcating a working area of an industrial robot, selecting a deployment position of a plurality of marker lights in each industrial robot, setting the color of each marker light, and generating a combined code, wherein the combined code of each industrial robot is different; collecting video monitoring data containing all industrial robots by using a video monitoring device pre-deployed in the working area; according to a preset step, a plurality of snapshots are intercepted, and the position of the industrial robot is located through the combined code; and S200: grid division is performed on the working area, and a reference point is selected.The application can realize incremental planning of the industrial robot by defining a conflict line, can dynamically adjust the moving route, is convenient for quickly adapting to changes in obstacles, and greatly improves the obstacle avoidance efficiency of the industrial robot.

Embodiments of the present application disclose a vehicle obstacle avoidance path planning method and device and electronic equipment, and relate to the technical field of automatic driving. The method comprises the following steps: determining a target obstacle in a current cruising lane; predicting a running state of the target obstacle at each discrete time point within a predetermined time length; determining, based on a current execution path of the ego vehicle, a running state of the ego vehicle at two or more predicted positions of the ego vehicle in a lateral direction of the current cruising lane at each discrete time point; calculating, according to the running state of the target obstacle at each discrete time point, the running state of the ego vehicle at each predicted position of the ego vehicle at each discrete time point, and a preset dangerous degree model, a dangerous degree of the target obstacle to each predicted position of the ego vehicle at each discrete time point; and determining, based on the dangerous degree of the target obstacle to each predicted position of the ego vehicle, an initial obstacle avoidance route of the ego vehicle to the target obstacle within the predetermined time length. The present application is suitable for obstacle avoidance.