A travel robot for moving a substrate transfer robot in a transfer chamber includes: an elevating part for driving an elevating drive shaft installed in the transfer chamber, a first travel link arm engaged with the elevating drive shaft, a second and a third travel link arm respectively having a first and a second driving motors installed therein, wherein two travel drive shafts are interlocked with the first driving motor and their corresponding travel output shafts, wherein the travel drive shafts and the travel output shafts are installed on the first travel link arm, wherein a rotation drive shaft interlocked with the second driving motor and a rotation output shaft interlocked with the rotation drive shaft and the substrate transfer robot are installed on the third travel link arm, and wherein the travel output shafts are engaged with the first and the third travel link arm.

A method and computing system comprising identifying a plurality of robot configurations for each inspection point of a plurality of inspection points of a problem. A graph may be generated with each feasible robot configuration as a node on the graph. A distance may be calculated between a pair of feasible robot configurations. A shortest complete path connecting each node on the graph may be obtained based upon, at least in part, the distance between the pair of feasible robot configurations.

The invention relates to a method and to a device for producing a robot with a robotic arm. Said method can be carried out using an assembly robot wherein first housing segments are arranged in an intended sequence for the robotic arm, drive units are inserted into the first housing segments and the respective complimentary second housing segments are placed on the first housing segments comprising the drive units.

An automated braiding machine for applying a braided cover to an elongate structure includes a barrel through which the elongate structure passes and a bobbin orbiting assembly configured to orbit a plurality of bobbins around the barrel. Each of the bobbins unwinds a corresponding thread having a portion extending between a rim of the barrel and the elongate structure. A first robotic arm assembly is configured to pull the elongate structure in a longitudinal direction thereof. A speed at which the elongate structure is pulled in the longitudinal direction thereof is dependent on a measured angle of one of the portions of the thread relative to a plane defined by the rim of the barrel.

Solutions for multi-robot configurations are co-optimized, to at least some degree, across a set of non-homogenous parameters based on a given set of tasks to be performed by robots in a multi-robot operational environment. Non-homogenous parameters may include two or more of: the respective base position and orientation of the robots, an allocation of tasks to respective robots, respective target sequences and/or trajectories for the robots. Such may be executed pre-runtime. Output may include for each robot: workcell layout, an ordered list or vector of targets, optionally dwell time durations at respective targets, and paths or trajectories between each pair of consecutive targets. Output may provide a complete, executable, solution to the problem, which in the absence of variability in timing, can be used to control the robots without any modification. A genetic algorithm, e.g., Differential Evolution, may optionally be used in generating a population of candidate solutions.

In variants, a method for robot control can include: receiving sensor data of a scene, modeling the physical objects within the scene, determining a set of potential grasp configurations for grasping a physical object within the scene, determining a reach behavior based on the potential grasp configuration, determining a trajectory for the reach behavior, and grasping the object using the trajectory.

Examples provide a system and method for autonomously placing items into non-rigid containers. An image analysis component analyzes image data generated by one or more cameras associated with picked items ready for bagging and/or a non-rigid container, such as, but not limited to, a bag. The image analysis component generates dynamic placement data identifying how much space is available inside the bag, bag tension, and/or contents of the bag. A dynamic placement component generates a per-item assigned placement for a selected item ready for bagging based on a per-bag placement sequence and the dynamic placement data. Instructions, including the per-item assigned placement designating a location within the interior of the non-rigid container to the selected item and an orientation for the selected item after bagging, is sent to at least one robotic device. The robotic device places the selected item into the non-rigid container in accordance with the instructions.

A control system includes: a robot controller configured to control a robot to execute a plurality of tasks included in a process for a workpiece in a real space; and circuitry configured to: control a virtual robot to execute the plurality of tasks in a virtual space; collect a real execution record from the real space during execution of each of the plurality of tasks by the robot; collect a virtual execution record from the virtual space during execution of each of the plurality of tasks by the virtual robot; and extract, from the plurality of tasks, one or more inconsistent tasks for which the real execution record and the virtual execution record are inconsistent with each other.

An object is to reduce the risk of outflow of defects and improve the work efficiency of assembly work. An assembly system 10 according to an embodiment of the present invention is used to assemble a finished product while sequentially placing and fixing multiple types of components to a workpiece. The assembly system 10 includes a collaborative robot 20 configured to collaborate with a worker 100, an identification information reading unit 27 configured to read identification information indicated on a component placed on the workpiece, and a controller 70 configured to determine whether a type of the component placed on the workpiece is correct or incorrect based on the read identification information and control the collaborative robot in accordance with a result of the correctness determination.

Systems, methods, and apparatus for tracking location of an inspection robot are disclosed. An example apparatus for tracking inspection data may include an inspection chassis having a plurality of inspection sensors configured to interrogate an inspection surface, a first drive module and a second drive module, both coupled to the inspection chassis. The first and second drive module may each include a passive encoder wheel and a non-contact sensor positioned in proximity to the passive encoder wheel, wherein the non-contact sensor provides a movement value corresponding to the first passive encoder wheel. An inspection position circuit may determine a relative position of the inspection chassis in response to the movement values from the first and second drive modules.