Methods, systems, and apparatus, including computer programs encoded on computer storage media, for rule execution in an online robotics system. One of the systems includes an execution engine subsystem and an execution memory subsystem. The execution engine receives rules having types and subtypes that represent a particular entity in an operating environment of a robot, provides subscription requests to the execution memory subsystem, and receives events emitted by the execution memory subsystem. The an execution memory receives subscription requests from the execution engine subsystem, receives new observations, converts the new observations into fact updates, performs pattern matching with the fact updates against the patterns of the subscription requests, and emits events to the execution engine subsystem for patterns that have been matched by the fact updates.

A processing system is disclosed for providing processing of homogenous and non-homogenous objects in both structured and cluttered environments. The processing system includes a programmable motion device including an end effector, a perception system for recognizing any of the identity, location, and orientation of an object presented in a plurality of objects at an input location, a grasp acquisition system for acquiring the object using the end effector to permit the object to be moved from the plurality of objects to one of a plurality of destination bins, and a motion planning system for determining a changing portion of a trajectory path of the end effector from the object to a base location proximate to the input location, and determining an unchanging portion of a trajectory path of the end effector from the base location to a destination bin location proximate to a destination bin, wherein the unchanging portion of the trajectory path is chosen to provide a path from the base location to the destination bin location that is consistent with paths taken by other objects.

A trajectory generation system includes a computing unit that generates a trajectory on which a mobile body or a gripper moves from a start position to a target position, and an evaluating unit that evaluates a plurality of trajectory candidates. The computing unit generates the trajectory candidates leading to a target area including the target position and its vicinity, with a plurality of degrees of freedom associated with predetermined grip conditions, within at least one of a range in which the candidates can be computed in a predetermined period, a range in which they can be computed in a predetermined processing amount, and a range in which a predetermined number of trajectory candidates can be computed. The evaluating unit conducts evaluation of the trajectory candidates generated, based on an evaluation item, and the computing unit generates the trajectory, using one trajectory candidate selected based on the evaluation.

Embodiments of the present disclosure are directed towards a robotic system and method. The system may include a robot and a three dimensional sensor device associated with the robot configured to scan a welding area and generate a scanned welding area. The system may include a processor configured to receive the scanned welding area and to generate a three dimensional point cloud based upon, at least in part the scanned welding area. The processor may be further configured to perform processing on the three dimensional point cloud in a two-dimensional domain. The processor may be further configured to generate one or more three dimensional welding paths and to simulate the one or more three dimensional welding paths.

A trajectory control device includes: a contact sensor that can contact side surfaces of a workpiece; an actuator that moves a trajectory tracking member and the contact sensor; and a trajectory controller that calculates XY coordinates of a trajectory on the workpiece that is placed in an arbitrary position, by transforming XY coordinates of the trajectory on the workpiece in a reference position, based on positional information about the side surfaces of the workpiece in the reference position and positional information about the side surfaces of the workpiece placed in the arbitrary position. The positional information about the side surfaces of the workpiece placed in the arbitrary position is obtained by the contact sensor.

A model generation apparatus according to one or more embodiments may include: a data obtainer configured to obtain a plurality of learning datasets each including a combination of training data and true data, the training data indicating a positional relationship between two objects, the true data indicating whether the two objects come in contact with each other in the positional relationship; and a machine learning unit configured to train, through machine learning, a determination model using the obtained plurality of learning datasets to cause the determination model to output, in response to an input of training data included in each of the plurality of learning datasets, an output value fitting true data included in a corresponding learning dataset of the plurality of learning datasets.

Methods for controlling a robot system. In the method, a robot program for controlling a motion path of the robot system is imported, the motion path is used for processing a first workpiece into a second workpiece, and the robot program includes a variable for representing a parameter for controlling a feature of the motion path. A user of the robot system is provided with an interface for controlling the robot system. The robot program is updated based on an input from the user for adjusting the parameter. Further, embodiments of present disclosure provide corresponding apparatuses, systems and media for controlling a robot system, and methods, apparatuses, systems, and media for generating a robot program. With these embodiments, the robot program may be adjusted at an online side without a need to return to an offline programming tool for updating the robot program.

A processing system is disclosed for providing processing of homogenous and non-homogenous objects in both structured and cluttered environments. The processing system includes a programmable motion device including an end effector, a perception system for recognizing any of the identity, location, and orientation of an object presented in a plurality of objects at an input location, a grasp acquisition system for acquiring the object using the end effector to permit the object to be moved from the plurality of objects to one of a plurality of destination bins, and a motion planning system for determining a changing portion of a trajectory path of the end effector from the object to a base location proximate to the input location, and determining an unchanging portion of a trajectory path of the end effector from the base location to a destination bin location proximate to a destination bin, wherein the unchanging portion of the trajectory path is chosen to provide a path from the base location to the destination bin location that is consistent with paths taken by other objects.

The invention relates to a method for robot-assisted wiring of electrical components of an electrical switchgear arranged on a mounting plate, comprising the steps: Providing a planning of a switchgear which has at least location information about a plurality of electrical components of the switchgear on a mounting plate and wiring information about a plurality of electrical wirings between every two of the electrical components; Extracting a cable routing including a cable source coordinate, a cable destination coordinate, and a routing path between the cable source coordinate and the cable destination coordinate from the wiring information for at least one of the plurality of wirings; Generating trajectory and/or vector points along the cable routing and parameterizing the trajectory and/or vector points to generate robot control; and Controlling a robot with the robot controller.

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.