An in-vacuum twin-arm robot transports substrates in a vacuum space. The in-vacuum twin-arm robot includes a base arm, a first arm, a second arm, a first hand, and a second hand. The base arm can move vertically and can rotate. The first arm can rotate with respect to the base arm. The second arm can rotate with respect to the base arm. The first hand rotates with respect to the first arm and holds and transports the substrate. The second hand rotates with respect to the second arm and holds and transports the substrate. The first arm and the second arm are rotatably mounted on a leading end of the base arm via a joint shaft formed hollow. An angle of the first hand with respect to the first arm and an angle of the second hand with respect to the second arm can be changed independently of each other.

A planning system includes search circuitry configured to run a simulation to repeatedly generate candidate positions which are candidates for a target position with respect to a motion of a robot, and selection circuitry configured to select the target position among the candidate positions. The search circuitry includes evaluation circuitry configured to calculate an evaluation value corresponding to each of the candidate positions, estimation circuitry configured to generate a calculation model showing a relationship between each of the candidate positions and the evaluation value with a regression analysis, and setting circuitry configured to set a new candidate position based on the calculation model.

A humanoid hugging assembly includes a humanoid animatronic that has a torso, a pair of arms and a pair of hands each is disposed on a respective one of the arms. The arms are positionable in a resting position having the arms extending downwardly along the torso and having a palm of each of the hands facing the torso. Each of the arms is positionable in a hugging position has each of the arms is crossed in front of the torso wherein the pair of arms is configured to embrace the user. A motion sensor is integrated into the humanoid animatronic to sense motion of the user approaching the humanoid animatronic. A motion unit is integrated into the humanoid animatronic and the motion unit actuates each of the arms into the hugging position when a predetermined duration of time has passed when motion sensor senses motion.

Disclosed are a method and a system for charging a robot. A method for charging a robot according to an embodiment of the present disclosure includes monitoring a battery level of a first robot which is providing a service, determining a charging robot for charging the first robot, from a plurality of second robots, when a battery level of the first robot falls below a first threshold level, and transmitting an instruction to move to a target position to the determined charging robot, in which determining the charging robot comprises determining the charging robot based at least partly on distances between the first robot and the second robots and battery levels of the second robots. Embodiments of the present disclosure may be implemented by executing an artificial intelligence algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things.

One method for fleet management of robotic surgical systems includes receiving, by a management server from a robotic surgery system, a provisioning request; in response to receiving the provisioning request: generating an encryption key pair for the robotic surgery system, the encryption key pair comprising a private key and a public key, communicating the private key to the robotic surgery system, and communicating a set of secure certificates to the robotic surgery system, at least one of the secure certificates enabling secure communications between the robotic surgery system and the management server; receiving from the robotic surgery system, and using the at least one secure certificate enabling secure communications, a message indicating one or more software packages, each software package indicating a version of an installed software package on the robotic surgery system; communicating one or more software updates to the robotic surgery system based on the message; and registering, at the management server, the robotic surgery system.

A robotic system for presenting a payload within a workspace includes a pair of serial robots configured to connect to the payload, a parallel robot coupled to a distal end of one of the serial robots such that the parallel robot is disposed between the distal end and the payload, a sensor situated within a kinematic chain extending between the distal end and the payload, and a robot control system (RCS). The sensor outputs a sensor signal indicative of a measured property of the payload. The RCS includes a coordinated motion controller configured to control the serial robots, and a corrective motion controller configured to control the parallel robot. Parallel robot control occurs in response to the sensor signal concurrently with control of the serial robots in order to thereby modify the property of the payload in real-time.

An end of arm tool (EOAT) for use during manufacture of parts using one or more pre-impregnated composite plies is disclosed. In an embodiment, the EOAT includes a mechanical gripper arrangement with first and second fingers configured to supply a compressive force to grip a pre-impregnated composite ply therebetween. At least one of the first and second fingers include a roller member to engage opposite surfaces of the pre-preg ply and supply a compressive gripping force. The roller member on either or both the first and second fingers preferably include a torque regulator to selectively adjust an associated roller member's resistance to rotation via supply of a rotational torque resistance.

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.

A method and arrangement for testing and/or correction of a weld (34, 36, 38) of a test object (26, 102), including alignment of an ultrasonic probe (16, 128) guided by a robot (100) on a target position of the weld (28, 30, 32), determination of the actual position (34, 36, 38) of the weld by means of an optical sensor (22, 130) and alignment of the ultrasonic probe (16) on the actual position, and measurement of the weld, where CAD data of the target position of the weld (28, 30, 32) is made available, on the basis of the CAD data of the weld the ultrasonic probe (16, 128) is aligned on the target position of the weld, and the ultrasonic probe is placed on the weld with controlled force after determination of the actual position (34, 36, 38) of the weld by means of the optical sensor (22, 130).

A press frame for a robot system includes a base, a bridge and a set of columns supporting the bridge above the base. A first robot holds a part on the base and a second robot manipulates a pressing tool to press a component into an opening. The pressing tool is backed by the bridge that opposes a reaction force resulting from pressing the component part into the part. A method of assembling components to a part by pressing the part into an opening while engaging the bridge of a reaction frame. The part is transferred to the base by a first robot that positions the part on the base. A pressing tool and a component are selected by a second robot that orients the component to be inserted in the opening. Data relating to displacement, load and time is collected by the controller.