A method for generating intermediate waypoints for a navigation system of a robot includes receiving a navigation route. The navigation route includes a series of high-level waypoints that begin at a starting location and end at a destination location and is based on high-level navigation data. The high-level navigation data is representative of locations of static obstacles in an area the robot is to navigate. The method also includes receiving image data of an environment about the robot from an image sensor and generating at least one intermediate waypoint based on the image data. The method also includes adding the at least one intermediate waypoint to the series of high-level waypoints of the navigation route and navigating the robot from the starting location along the series of high-level waypoints and the at least one intermediate waypoint toward the destination location.

A motion target direction angle obtaining method and a robot using the same. The method includes: creating an absolute coordinate system, and obtaining an absolute position coordinate of at least one point after the first point in the absolute coordinate system; creating a relative coordinate system with the first point as an origin, and obtaining a relative position coordinate corresponding to the at least one point In the relative coordinate system; calculating matrix parameters of a transformation matrix based on the absolute position coordinate of the at least one point and the relative position coordinate corresponding to the at least one point; and determining a direction angle of the motion target at the first point based on the matrix parameters. Combines an absolute portioning method and a relative positioning method to calculate the direction angle.

An object handling control device includes one or more processors configured to acquire at least object information and status information representing an initial position and a destination of an object; set, when a grasper grasping the object moves from the initial position to the destination, a first region, a second region, and a third region in accordance with the object information and the status information; and calculate a moving route along which the object is moved from the initial position to the destination with reference to the first region, the second region, and the third region.

The present disclosure relates to a Web server (104, 60, 70) and a method therein of determining a trajectory for controlling of a robot device over a cloud interface. From a URI-encoded HTTP request (402) for the trajectory between a first pose and a second pose of the robot device, it is determined (S112, 408) the length of matching between cached trajectories and the trajectory requested. The longest length of matching is compared (S114, 410) to a minimal matching length (406), and if the longest length is longer than the minimal matching length, a HTTP response is sent (S122, 412) comprising the trajectory being determined. If the longest length is shorter than the minimal matching length, a HTTP request to calculate is sent (S116, 414). Currently available web service architecture can be reused, and easily up-scaled.

The present disclosure provides a robot motion path planning method, apparatus, and terminal device. The method includes planning a planned path for a robot in a current scene using an open motion planning library (OMPL) database, setting a shortest ideal path as an initial ideal path, calculating a new path between the planned path and the initial ideal path using a dichotomy method, determining whether the new path meets an obstacle avoidance requirement and a structural constraint of the robot in the current scene, making the new path as the new planned path if yes, otherwise determining the new path as a new ideal path, optimizing the planned path using the dichotomy method iteratively until an error between the planned path and the ideal path is within a preset range, and determining the planned path as a motion path of the robot, thereby improving the motion efficiency.

In some aspects, computer-implemented methods for selecting a robotic tool path for a manufacturing processing system to execute a material processing sequence in three-dimensional space can include: providing to a computer-readable product including robotic system data of a robotic tool handling system and workpiece data relating to a processing path of a tool along the workpiece; generating a plurality of possible robotic tool paths to be performed to move the tool along the processing path; identifying one or more obstacles, or an absence of obstacles, associated with the robotic tool paths; comparing robotic tool paths based on a predetermined robotic parameter to be controlled as the tool moves from the start point to the end point; and based on the identified obstacles, determining feasible tool paths, between the start point and the end point that avoid the obstacles, that can be obtained by adjusting the predetermined robotic parameter.

An industrial controller that integrates with an external controller for improved control of an industrial machine or process and for coordinating internal motion control functions of the industrial controller with the control routines native to the external controller is disclosed. The industrial controller includes one or more internal motion control instructions, such as a jog, cam, follower, or gearing function. The industrial controller further includes an internal motion planner to generate commands for motor drives connected to the industrial controller to execute the internal motion control instructions or user provided motion control instructions in a control program. External vendors have also developed motion planners to generate motion commands, for example, for the axes on robotic equipment. The present invention includes an interface between motion commands and motor drives controlled by the industrial controller and the external motion planners to seamlessly integrate the external motion planner with the industrial controller.

In some aspects, computer-implemented methods for selecting a robotic tool path for a manufacturing processing system to execute a material processing sequence in three-dimensional space can include: providing to a computer-readable product including robotic system data of a robotic tool handling system and workpiece data relating to a processing path of a tool along the workpiece; generating a plurality of possible robotic tool paths to be performed to move the tool along the processing path; identifying one or more obstacles, or an absence of obstacles, associated with the robotic tool paths; comparing robotic tool paths based on a predetermined robotic parameter to be controlled as the tool moves from the start point to the end point; and based on the identified obstacles, determining feasible tool paths, between the start point and the end point that avoid the obstacles, that can be obtained by adjusting the predetermined robotic parameter.

Example implementations relate to generating instructions for robotic tasks. A method may involve determining task information of a path-based task by an end-effector on an object, where the task information includes (i) at least one task parameter, and (ii) a nominal representation of the object. The method also involves based on the task information, determining one or more parametric instructions for the end-effector to perform the task, where the one or more parametric instructions indicate a toolpath for the end-effector to follow when performing the task. The method also involves generating, based on sensor data, an observed representation of the object, and comparing the observed and the nominal representations. The method further involves based on the comparison, mapping the parametric instructions to the observed representation of the object. The method yet further involves sending the mapped instructions to the end-effector to cause the robotic device to perform the task.

The present disclosure provides a positioning method and an apparatus with the same. The method includes: obtaining, by die sensor set, current track node information of a current track node of a map on which the to-be-positioned device is located, where the current track node information includes a color of the current track node; and determining position information of the to-be-positioned device based on the track node information. In the above manner, the positioning of the to-be-positioned device in a specific map can be realized.