Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating paths for a robot based on optimizing multiple objectives. One of the methods includes: receiving, by a motion planner, request to generate a path for a robot between a start point and an end point in a workcell of the robot, wherein the workcell is associated with one or more soft margin values that define spaces in which the robot should avoid when transitioning between points in the workcell; classifying path segments within the workcell as being inside the soft margin or outside the soft margin; generating a respective cost for each of the plurality of path segments within the workcell; generating a plurality of alternative paths; evaluating the plurality of alternative paths according to the respective costs; and selecting an alternative path based on respective total costs of the plurality of alternative paths.

A camera and a robot system are provided. The camera includes a camera body attached to a tip of a robot arm and a camera unit housed in the camera body. The camera unit has a plurality camera devices that are different in optical characteristics for imaging a workpiece.

A robot collision avoidance motion planning technique using a worst state search and optimization. The motion planning technique begins with a geometric definition of obstacles, start and goal points, and an initial set of waypoints which may be sparsely spaced. Given an inter-point interpolation method such as linear or spline, a continuous trajectory can be described as a function of the waypoints and an arc length parameter. A worst state search is then performed which finds a location between each adjacent pair of waypoints having a worst state of distance to obstacle, considering all parts of the robot and tool. A collision avoidance constraint is defined using the worst state locations, and an optimization of the waypoint locations is then performed to improve the worst states until all collisions are eliminated and an obstacle avoidance minimum distance criteria is met.

A grabbing method for an industrial robot is disclosed. The method includes obtaining an object information file. The object information file includes numbers and/or positions of detected objects. The method further includes determining collision boundary lines and collision representative objects according to the object information file. In addition, the method includes determining a collision-free grabbing path of a gripper of the industrial robot based on the determined collision boundary lines and the collision representative objects. The collision-free grabbing path is a linear path that satisfies joint limits of the industrial robot. The disclosure further relates to a grabbing device for an industrial robot, a computer storage medium, and an industrial robot.

The present technology relates to an information processing device, an information processing method, and a program capable of generating a trajectory with smoother movement and/or shorter path based on the trajectories generated by a global trajectory planning.

The information processing device includes: a first processing unit that executes a collision avoidance optimization process of searching for a path that collides with an obstacle using N postures corresponding to input trajectories of a machine; and a second processing unit that sets a target value of each of the N postures to an intermediate position between two postures before and after a current posture and executes the collision avoidance optimization process. The present technology can be applied to, for example, control of a type of robot called a manipulator.

A robot is configured to perform a task on an object using a method for generating a 3D model sufficient to determine a collision free path and identify the object in an industrial scene. The method includes determining a predefined collision free path and scanning an industrial scene around the robot. Stored images of the industrial scene are retrieved from a memory and analyzed to construct a new 3D model. After an object is detected in the new 3D model, the robot can further scan the image in the industrial scene while moving along a collision free path until the object is identified at a predefined certainty level. The robot can then perform a robot task on the object.

A method for predicting collision of a machining path includes: a step of reading an NC program; a step of translating a plurality of block information in the NC program; a step of, prior to perform interpolation upon each of the plurality of block information, calculating a safety distance of a next block information with respect to a block information to be interpolated; a step of searching a number of individual block information having an accumulated distance greater than or equal to the safety distance; and a step of performing an anti-collision detection upon each of the individual block information contributing the accumulated distance. In addition, a system for predicting collision of a machining path is also provided.

Systems and methods for path planning by creating a three dimensional weighted graph representing a physical area wherein the third dimension comprise planes, wherein each plane represents a time unit, further wherein nodes can be connected only between different planes.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.

The present invention features a computer-implemented method of planning a processing path relative to a three-dimensional workpiece for a plasma arc cutting system coupled to a robotic arm. The method includes receiving input data from a user comprising (i) Computer-Aided Design (CAD) data for specifying a desired part to be processed from the three-dimensional workpiece, and (ii) one or more desired parameters for operating the plasma arc cutting system. A plurality of features of the desired part to be formed on the three-dimensional workpiece are identified based on the CAD data. The method also includes dynamically filtering a library of cut charts based on the plurality of features and the desired operating parameters to determine a recommended cut chart for processing the plurality of features. The method further includes generating the processing path based on the recommended cut chart and the plurality of features to be formed.