Proposed is a mechanism capable of securing both convenience and safety in regard to surgery performed by inserting an endoscope into a human body. A medical arm system including a multi-joint arm which has a plurality of links connected by joints and a distal end to which an endoscope is connectable and a control unit which sets a virtual plane in a body cavity of a patient and controls the multi-joint arm so as to constrain a predetermined point of the endoscope in the body cavity on the virtual plane.

A mobile robot operation method according to an aspect of the present invention includes: a step for receiving a guidance destination input; a step for generating a global path to the received guidance destination; a step for generating a left travel guideline and a right travel guideline on the left side and the right side of the generated global path; and a step for generating a local path within a travelable range between the left travel guideline and the right travel guideline. Accordingly, the robot operation method may generate a safe and optimal guidance path when providing a guidance service.

Disclosed herein are methods to detect a free-falling or other non-surgical motions of the user interface device (UID) of a surgical robotic system so that the surgical robotic system may pause the robotic arm controlled by the UID to prevent the robotic arm from mimicking the unintentional movement of the UID. Contact sensors embedded in the UID may be used to detect conditions indicating that a user does not possess full control of the UID. After determining that the user does not have full control of the UID, the UID may detect if the UID is experiencing non-surgical motions using motion sensors such as inertial sensors. By conditioning analysis of the data from the motion sensors by the initial determination that the UID is not being held based on the contact sensors, the method increases the robustness of the detection of non-surgical motions and reduces the probability of false positives.

A method for managing elevator operation, a device for managing elevator operation, an elevator system and a computer-readable storage medium. The method for managing elevator operation includes: establishing a communication connection with at least one of robots movably arranged in a preset area; receiving data information from the robot, the data information including elevator service information generated by the robot based on input information related to an elevator visitor; and controlling the operation of the elevator and/or the operation of at least another one of the robots according to the received data information.

Aspects of the disclosure relate to intelligent RPA bot development. A computing platform may identify user interface field information from one or more applications based on tracking eye movements of the user. The computing platform may identify device events associated with the eye movements of the user. The computing platform may generate a sequence log associating the eye movements of the user with the device events. The computing platform may derive, using a machine learning model, based on the sequence log, a cognitive model of the transaction by the user. The computing platform may generate a workflow for an autonomous bot by identifying and assembling robotic process automation components based on the derived cognitive model of the transaction by the user. The computing platform may send the workflow for the autonomous bot to a user computing device.

This control device has: a user information acquisition unit which acquires first user posture information that indicates the posture of a first user operating a robot; a pre-change robot information acquisition unit which, on the basis of the first user posture information, acquires pre-change posture information, which indicates the posture of the robot before the posture of the robot is changed; and a determination unit which determines, as the posture of the robot, a target posture, which is different from the posture of the first user, on the basis of the pre-change posture information and the first user posture information that is acquired by the user information acquisition unit at the time when the robot took the pre-change posture indicated by the pre-change posture information.

An electronic device such as an accessory-mountable robot is provided. The electronic device changes functional properties thereof in accordance with a mounted accessory. In an embodiment, the electronic device detects mounting of at least one accessory and identifies accessory characteristics associated with the at least one accessory. Then, the electronic device determines properties of the electronic device associated with the at least one accessory, based on the accessory characteristics, and changes the properties of the electronic device, based on the determined properties. Also, the electronic device outputs at least one of a visual element, an auditory element, or a tactile element associated with the at least one accessory, based on the changed properties.

A teach pendant can be communicatively coupled to a light. The teach pendant can be communicatively coupled to a robot. The teach pendant can include one or more processors. The teach pendant can be configured to control the light. For instance, the teach pendant can be configured to selectively activate and deactivate the light. The light can be operatively connected to the teach pendant or the robot. The light can help robot programmers or technicians see in dark or dimly lit work environments. The light can improve user safety in such environments and/or enhance the work environment.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.