An apparatus, system and method for a substrate flipper capable of accommodating substrates of varying sizes. The apparatus, system and method may include a base housing providing at least a portion of a rotating feature; an arm enclosure rotatably associated with the rotating feature and providing at least one arm actuator, and at least one gripper actuator; two arms at two substantially distal points with respect to one another along the arm enclosure, each of the two arms being communicatively associated with the at least one arm actuator; and a gripper associated with each of the two arms distal from the arm enclosure, communicatively associated with the at least one gripper actuator and capable of gripping one of the substrates upon actuation of the gripper. The actuation of the at least one arm actuator effectuates a change in distance between central longitudinal axes of each of the two arms.

An automated construction robot system includes: a mobile base assembly configured to be displaceable within the work area; a head assembly configured to process a work surface; an arm assembly configured to moveably-couple the head assembly and the mobile base assembly and controllably-displace the head assembly with respect to the work surface; a machine vision system configured to scan a target area and generate target area information; and a computational system configured to: process the target area information to identify a surface defect, generate one or more remedial instructions based, at least in part, upon the surface defect identified, and manipulate one or more of the mobile base assembly, the head assembly and the arm assembly based, at least in part, upon the one or more remedial instructions.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

A gripper device and method is provided. The method includes capturing, using an electronic device, information of an object that is indicative of holding position; determining, using the information, by a hardware processor, an optimal holding orientation and an optimal movement of at least one of (i) a plurality of fingers, or (ii) a plurality of suction cups of a gripper device; identifying the at least one of (i) the plurality of fingers, and (ii) the plurality of suction cups as one or more grasping components based on the information, the optimal holding orientation and the optimal movement; and enabling, using an actuator, the one or more identified grasping components to grasp the object based on the information, the optimal holding orientation and the optimal movement.

A control device that controls an operation of a robot for alerting a human is provided.

A control device that controls a robot includes an acquiring unit that acquires field of view information of a human and a control unit that controls an operation of an alert unit provided on the robot based on the field of view information. The control unit controls the alert unit such that the alert unit performs an alert operation according to a target task of the robot within an auxiliary field of view area of the human. The alert unit includes a manipulator provided on the robot. The alert operation includes an operation of the manipulator gripping an object relating to the target task of the robot.

A robotic control system directs a robot to take an object from a human grasp by obtaining an image of a human hand holding an object, estimating the pose of the human hand and the object, and determining a grasp pose for the robot that will not interfere with the human hand. In at least one example, a depth camera is used to obtain a point cloud of the human hand holding the object. The point cloud is provided to a deep network that is trained to generate a grasp pose for a robotic gripper that can take the object from the human's hand without pinching or touching the human's fingers.

A method for teaching a robotic arm to pick or place an object includes the following steps. Firstly, the robot arm is pushed until a target appears within a vision. Then, an appearance position of the target is set as a visual point. Then, a first image is captured. Then, the robot arm is pushed to a target position from the visual point. Then, the target position is set as a pick and place point. Then, an automatic movement control of the robot arm is activated. Then, the robot arm automatically picks and places the object and returns to the visual point from the pick and place point. Then, a second image is captured. Then, a differential image is formed by subtracting the second image from the first image, the target image is set according to the differential image, and image characteristic of the target are automatically learned.

Provided is an operation command generation device including: an execution order determination unit configured to determine, based on respective arrangement positions of a plurality of process symbols each representing a process for a process subject on a protocol chart including the plurality of process symbols, an execution order of the plurality of process symbols; and a process symbol conversion unit configured to respectively convert the plurality of process symbols into jobs for a process system including at least a robot so that processes represented by the plurality of process symbols are executed in the execution order determined by the execution order determination unit.

A robotic device may traverse a path in a direction of locomotion. Sensor data indicative of one or more physical features of the environment in the direction of locomotion may be received. The implementation may further involve determining that traversing the path involves traversing the one or more physical features of the environment. Based on the sensor data indicative of the one or more physical features of the environment in the direction of locomotion, a hydraulic pressure to supply to the one or more hydraulic actuators to traverse the one or more physical features of the environment may be predicted. Before traversing the one or more physical features of the environment, the hydraulic drive system may adjust pressure of supplied hydraulic fluid from the first pressure to the predicted hydraulic pressure.

A self-contained truck-mounted brick laying machine can include a frame that can support packs or pallets of bricks placed on a platform. A transfer robot can pick up and move the brick(s). A carousel can be coaxial with a tower. The carousel can transfer the brick(s) via the tower to an articulated and/or telescoping boom. The bricks can be moved along the boom by, e.g., linearly moving shuttles, to reach a brick laying and adhesive applying head. The brick laying and adhesive applying head can mount to an element of the stick, about an axis which is disposed horizontally. The poise of the brick laying and adhesive applying head about the axis can be adjusted and can be set in use so that the base of a clevis of the robotic arm mounts about a horizontal axis, and the tracker component is disposed uppermost on the brick laying and adhesive applying head. The brick laying and adhesive applying head can apply adhesive to the brick and can have a robot that lays the brick. Vision and laser scanning and tracking systems can be provided to allow the measurement of as-built slabs, bricks, the monitoring and adjustment of the process and the monitoring of safety zones. The first, or any course of bricks can have the bricks pre machined by the router module so that the top of the course is level once laid.