Systems and a method for determining a sequence of kinematic chains of a multiple robot along a sequence of locations. Inputs on the locations to be reached by a robot tool are received. Each chain is considered separately by setting one chain in use and determining, for each chain in use, available configurations for each location. The available configurations are represented as nodes of a graph representing available robotic paths for reaching with a tool the locations, while allowing the switching among different chains within the same robotic path. Valid connectors are determined by simulating collision free robot trajectories while taking into account working modality constraints of the locations. Weight factors are assigned to connectors to represent robot efforts in moving between subsequent configurations. The shortest robotic path among valid paths is determined by taking into account the weight factors. The sequence of chains is determined from the shortest path.

An acquisition unit (32) acquires work information related to work to be performed by a robot having a hand part, grasping information indicating a plurality of candidates for the relative positional relationship between the hand part and a workpiece, workpiece posture information indicating a plurality of candidates for a posture adoptable by the workpiece, and kinematics information regarding the robot. A generation unit (34) generates, for a plurality of target points on a path of the robot for performing the work, a graph (38) which includes a node corresponding to each combination of the workpiece posture information, the posture of the hand part grasping the workpiece, and the posture of the robot, and an edge connecting nodes corresponding to combinations that are transitionable between target points, and in which an estimated operation time corresponding to the transition between the nodes connected by the edge is given to the edge as a weight. A searching unit (36) uses the graph (38) to search for a sequence of robot postures, which results in the shortest operation time, at each of the plurality of target points.

To generate a more appropriate path, provided is a robot path generation device including circuitry configured to: hold a track planning module learning data set, in which a plurality of pieces of path data generated based on a motion constraint condition of a robot, and evaluation value data, which corresponds to each of the plurality of pieces path data and is a measure under a predetermined evaluation criterion, are associated with each other; and generate, based on a result of a machine learning process that is based on the track planning module learning data set, a path of the robot between a set start point and a set end point, which are freely set.

An appearance inspection system enabling a route to be easily set when a target is imaged while causing a relative position of an imaging device with respect to the target to be different is provided. A decision part decides a plurality of relative position candidates of the imaging device with respect to the target at which focus of a lens module is possible on the inspection target position with regard to each of a plurality of the inspection target positions on the target. A selection part selects relative positions one by one from corresponding plurality of relative position candidates for each of the plurality of inspection target positions and selects a route candidate satisfying a preset requirement from a plurality of route candidates generated by sequentially connecting the plurality of selected relative positions as a designation route.

An appearance inspection system includes a setting part, a movement mechanism, and a control part. The setting part sets a route passing through a plurality of imaging positions in order. The setting part sets the route so that a first time necessary for the movement mechanism to move an imaging device from a first imaging position to a second imaging position among the plurality of imaging positions is longer than a second time necessary for a process of changing a first imaging condition corresponding to the first imaging position to a second imaging condition corresponding to the second imaging position by the control part. The control part starts the process of changing the first imaging condition to the second imaging condition earlier by the second time or more than a scheduled time at which the imaging device arrives at the second imaging position.

To provide an appearance inspection system capable of reduce labor for setting an imaging condition by a designer when a plurality of inspection target positions on a target is sequentially imaged. An appearance inspection system includes an imaging condition decision part and a route decision part. The imaging condition decision part decides a plurality of imaging condition candidates including a relative position between a workpiece and an imaging device for at least one inspection target position among a plurality of inspection target positions. The route decision part decides a change route of an imaging condition for sequentially imaging the plurality of inspection target positions by selecting one imaging condition among the plurality of imaging condition candidates so that a pre-decided requirement is satisfied.

A coordination system for a handling device including a plurality of kinematic chains is provided. Each of the kinematic chains being movable in a workspace. At least two of the workspaces having an overlap, the kinematic chains being designed to carry out a work movement based on a work command. The coordination system includes a trajectory planning module and a control module. The control module is designed to activate the kinematic chains to carry out the work movement based on trajectory data. The trajectory planning module is designed to determine the trajectory data to carry out the work movement and to provide the trajectory data to the control module. The trajectory planning module is designed, if a further work command is provided while the work movement is being carried out, to replan the trajectory data into replanned trajectory data and provide these data to the control module.

A trajectory generating method includes a first generating process of generating a plurality of trajectories between a start teaching point and a target teaching point, an evaluation process of evaluating a motion of the robot arm on each trajectory to calculate an evaluation value of each trajectory, a selection process of selecting one of the plurality of trajectories based on calculated evaluation values, and an update process of updating the trajectory by repeating the processes of generating a plurality of new trajectories by changing a selected trajectory in the selection process, of calculating an evaluation value of a motion of the robot arm on each changed trajectory and of selecting a trajectory based on calculated evaluation values.

A method, a device and a computer program product determines a time-optimal trajectory before the start of movement for a movement of an industrial robot, predefined by movement parameters, on a path. The method includes dividing the path into one or more partial paths and carrying out a predetermined number of repetitions of the following steps: calculating a time-optimal trajectory for each of the partial paths, joining the time-optimal trajectories for all partial paths, checking whether predetermined limit values are not exceeded and whether the fastest movement has been found, and varying one or more of the movement parameters.

A motion plan device 10X mainly includes a condition setting means 90X and a motion plan means 100X. The condition setting means 90X sets a first condition in which a robot performing a pick-and-place for one or more transport objects and the one or more transport objects are located inside movable region being a region where no collision with a collision avoidance necessary target occurs, and a second condition in which, while the robot is grasping and carrying the transport object, the movable region around the collision avoidance necessary target of the robot and the movable region around the collision avoidance necessary target of the transport object being carried match with each other. Next, the motion plan means 100X calculates a motion plan of the robot based on the first condition and the second condition.