The present disclosure relates to methods and systems for generating a verified minimum viable range (MVR) of an object. An exposed outer corner and exposed edges of an object may be identified by processing one or more image data. An initial MVR may be generated by identifying opposing parallel edges opposing the exposed edges. The initial MVR may be adjusted, and the adjusted result may be tested to generate a verified MVR.

There is provided a method for picking up an object from a bin to be implemented by a robotic arm including a controller and a picking-up module. The method includes: recognizing, by the controller, at least one object in the bin based on an image of an interior of the bin so as to determine a type of each object; determining, by the controller, a score for each object based on the type thereof; determining, by the controller, whether a greatest score among the score(s) of the at least one TBT object is greater than a predetermined value; and by the picking-up module, picking up one of the at least one TBT object that has the greatest score when it is determined that the greatest score is greater than the predetermined value.

Provided is an picking system which can suitably extract a workpiece by machine learning. The picking system is provided with: a robot which has a hand; an acquisition unit which acquires a two-dimensional camera image of an area where a plurality of workpieces are present; a teaching unit which can display the two-dimensional camera image and teach an picking position of a target workpiece to be extracted by the hand from among the plurality of workpieces; a training unit which generates a trained model on the basis of the two-dimensional camera image and the taught picking position; an inference unit which infers the picking position of the target work on the basis of the trained model and the two-dimensional camera image; and a control unit which controls the robot to extract the target workpiece by means of the hand on the basis of the inferred picking position.

A control device 1C mainly includes an operation sequence generation means 16C and a synchronization management means 17C. The operation sequence generation means 16C is configured to generate, based on an operation prediction result R2a of another working body which performs cooperative work with a robot which executes a task, an operation sequence Sra to be executed by the robot. The synchronization management means 17C is configured to synchronize an operation executed by the robot during execution of the operation sequence Sra and an operation executed by the other working body.

The inventive concept provides a substrate treating apparatus. The substrate treating apparatus includes a chamber having an entrance for taking in and taking out a substrate at a side wall; a support unit provided inside of the chamber and supporting the substrate; an imaging unit for imaging a substrate being taken in by a transfer robot through the entrance; and a controller is configured to control a position of the transfer robot based on an image data from the imaging unit.

The present disclosure is for systems and methods for adjusting operational configurations of robots in real-time. The invention pertains to overriding or replacing one operational configuration of a robot with another when appropriate circumstances arise and certain conditions have been met. In one aspect, the invention is applicable to robotic picking operations and serves to allow for unique robotic picking operations outside of the normal or standard limitations typically imposed on a robotic picking system. The invention provides the ability to remotely adjust robotic operational configurations in real-time, on-demand, in order to address various circumstances that may arise without requiring interruption of a picking session or requiring on-site human intervention.

A harvesting device includes: a harvesting unit that harvests an object to be harvested; a harvesting unit-moving unit that moves the harvesting unit to an appropriate position for harvesting the object to be harvested; an imaging unit that captures an image; and a controller, wherein the controller performs a first step of determining, based on the image, whether or not interference between the harvesting unit and an obstacle occurs when the harvesting unit is positioned at the appropriate position, a second step of determining, based on the image, whether or not interference between the harvesting unit-moving unit and the obstacle occurs when the harvesting unit is positioned at the appropriate position, when it is determined in the first step that the interference does not occur, and a third step of causing the harvesting unit to harvest the object to be harvested when it is determined in the second step that the interference does not occur.

A harvesting device includes a harvesting unit that harvests an object to be harvested, a harvesting unit moving unit that moves the harvesting unit to an appropriate position for harvesting the object to be harvested, a main body on which the harvesting unit and the harvesting unit moving unit are provided, a main body moving unit that moves the main body, and a controller. The controller executes a first step of determining whether or not one or more obstacles interfere with the harvesting unit when the harvesting unit is positioned at the appropriate position, a second step of determining whether or not the one or the plurality of obstacles interfere with the harvesting unit-moving unit when the harvesting unit is positioned at the appropriate position when it is determined that the interference does not occur in the first step, and a third step of causing the harvesting unit to harvest the object to be harvested when it is determined that the interference does not occur in the second step.

A method and system for dynamic collision avoidance motion planning for industrial robots. An obstacle avoidance motion optimization routine receives a planned path and obstacle detection data as inputs, and computes a commanded robot path which avoids any detected obstacles. Robot joint motions to follow the tool center point path are used by a robot controller to command robot motion. The planning and optimization calculations are performed in a feedback loop which is decoupled from the controller feedback loop which computes robot commands based on actual robot position. The two feedback loops perform planning, command and control calculations in real time, including responding to dynamic obstacles which may be present in the robot workspace. The optimization calculations include a safety function which efficiently incorporates both relative position and relative velocity of the obstacles with respect to the robot.

A device and method for automated computer controlled manufacture of assemblies composed of discrete linked product segments includes reciprocating product segment grippers having surface features engageable with the product segments, at least one robotic manipulating device whereby the product segments may be engaged by the product segment grippers.