10 results about "Nao robot" patented technology

The embodiments of present disclosure herein address unresolved problem of cognitive navigation strategies for a telepresence robotic system. This includes giving instruction remotely over network to go to a point in an indoor space, to go an area, to go to an object. Also, human robot interaction to give and understand interaction is not integrated in a common telepresence framework. The embodiments herein provide a telepresence robotic system empowered with a smart navigation which is based on in situ intelligent visual semantic mapping of the live scene captured by a robot. It further presents an edge-centric software architecture of a teledrive comprising a speech recognition based HRI, a navigation module and a real-time WebRTC based communication framework that holds the entire telepresence robotic system together. Additionally, the disclosure provides a robot independent API calls via device driver ROS, making the offering hardware independent and capable of running in any robot.

The medical imaging analysis system (110) is named "Chitrasa® system" and may be integrated with any robotic surgical system (100). Chitrasa is designed to aid the surgeons / doctors in making crucial decisions at the time of performing surgeries. A graphical processor (112) coupled to a user interface device (116) is provided in the surgeon console (106). The graphical processor (112) is operably connected to a server (114), which is configured to store a database containing information about patients and their relevant medical scans. The server (114) may be remote or local to the graphical processor (112). The graphical processor (112) is configured to extract a relevant data (128) based on the received input, from the database (124) and parse the extracted relevant data (128). A 3D model of the parsed data is rendered using the user interface device (116). Further, segmentation and manipulation of an organ is performed. Then, the position and orientation of the robotic surgical instruments on the manipulated segmented organ.

The invention relates to a method for operating a resource reservation entity (100) configured to reserve radio resources in a cellular network for a plurality of user entities connected to the cellular network, the plurality of user entities comprising at least one first user entity (10, 11) connected to a robotic device (20, 21) and at least one second user entity (30) not connected to any robotic device, the robotic device being controlled by control commands transmitted to the first user entity over the cellular network, the method comprising, at the resource reservation entity: - receiving a first message indicating a future resource requirement needed by the at least one first user entity to control at least one first task to be executed by the robotic device based on the control commands, the resource requirement comprising a first time period defined by a defined start time of the at least one first task and a duration of the at least one first task; - reserving radio resources for the plurality of user entities, wherein, in the reservation, a priority assigned to the at least one first user entity is increased for the duration of the first time period with respect to a priority assigned to the at least one second user entity, and the priority assigned to the at least one first user entity is higher than the priority assigned to the at least one second user entity in the first time period.

Disclosed is a calibration method of a device for non-destructive measurement of the internal structure of large-scale objects (4), comprising a first robotic arm (1) equipped with a source (2) of penetrating ionizing radiation, a second robotic arm (7) equipped with an imaging detector (6) of ionizing radiation, and a server for synchronized control of the robotic arms (1, 7), which is connected for communication to the robotic arms (1, 7). Any robotic arm (1, 7) changes its position at least once by a defined delta change. A change in the position of incidence of a collimated beam (5) of the penetrating ionizing radiation on the imaging detector (6) is measured, or a change in the position of the second robotic arm (7) with the imaging detector (6) is measured to maintain an initial position of incidence of the collimated beam (5) of ionizing radiation on the imaging detector (6). The defined delta change and the associated change in the position of incidence of the collimated beam (5) on the imaging detector (6) or the change in the position of the second robotic arm (7) carrying the imaging detector (6) are used to calculate the relative position of the source (2) of penetrating ionizing radiation in relation to the imaging detector (6) of ionizing radiation.

The application discloses a NAO robot object grasping training method based on direct preference optimization, and comprises the following steps: (1) collecting and saving human expert data, imitation data and trajectory data of interactive grasping actions in a robot simulator using a reinforcement learning strategy; (2) scoring state-action trajectory sequence data pairs in the trajectory data by a human annotator to obtain a trajectory data set based on human preferences; (3) designing a reference strategy network using the human preference data set, designing a parameterized strategy network, constructing a maximum likelihood target in combination with the reference strategy network, and performing gradient descent on the target function to obtain an optimal strategy; (4) training an object recognition model, deploying the object recognition model and the optimal strategy to a real NAO robot, and evaluating the grasping actions of the robot; and (5) iteratively training and evaluating the process until the robot can successfully grasp the target object.

The utility model discloses a robot coordinate system calibration system based on orthogonal ranging. Three positioners are adopted and installed in a user workpiece coordinate system where the robot can reach, and the three-dimensional coordinates of the positioners are known. A reflector is installed at the tail end of the robot, the reflector is moved to a detection area of the positioner, and three built-in orthogonal distance measuring sensors automatically obtain center coordinates of the reflector and feed back the center coordinates to the controller. And the controller obtains the position and angle deviation of the user workpiece coordinate system in the robot base coordinate system through data processing. According to the calibration system, when the reflector moves to the working area of the positioner, careful calibration is not needed, the distance measuring sensor automatically detects the deviation and automatically compensates and corrects the deviation, the precision is far higher than that of manual reading, and the calibration system is easy and convenient to operate, high in speed and high in efficiency. The positioner is small in size, free of limitation on the installation position, high in universality, capable of being suitable for any robot working airspace and high in cost performance.

In any robotic system for the remote operation of medical or surgical procedures, having at least one master device, at least one slave device moved by an actuator and configured to be controlled by the master device, a central microprocessor unit configured to control the slave device, and a display configured to visualize the surgical site where the slave device operates at its central portion, a control method usable is provided. The central unit determines the spatial orientation between the master device and the slave device, and when the central unit receives an alignment assistance request signal, generates on the display a graphical user interface including at least one alignment assistance graphic element visually representing the relative spatial orientation of the master device with respect to the slave device, and modifies at least one graphical aspect of the alignment assistance graphic element in a manner corresponding to the relative spatial orientation of the master device with respect to the slave device.

The invention discloses a robot coordinate system calibration system based on orthogonal ranging. Three positioners are adopted and installed in a user workpiece coordinate system where the robot can reach, and the three-dimensional coordinates of the positioners are known. A reflector is installed at the tail end of the robot, the reflector is moved to a detection area of the positioner, and three built-in orthogonal distance measuring sensors automatically obtain center coordinates of the reflector and feed back the center coordinates to the controller. And the controller obtains the position and angle deviation of the user workpiece coordinate system in the robot base coordinate system through data processing. According to the calibration system, when the reflector moves to the working area of the positioner, careful calibration is not needed, the distance measuring sensor automatically detects the deviation and automatically compensates and corrects the deviation, the precision is far higher than that of manual reading, and the calibration system is easy and convenient to operate, high in speed and high in efficiency. The positioner is small in size, free of limitation on the installation position, high in universality, capable of being suitable for any robot working airspace and high in cost performance.

A sensor module having multiple sensors for collecting, analyzing, storing, and transmitting data related to environmental and plant growth data in an agricultural habitat, such as a greenhouse, is disclosed. One or more modules are placed at various locations in a greenhouse, to collect data including any of temperature, temperature gradient, humidity, light levels, light frequencies, soil moisture, soil composition, plant health, plant growth, plant quality e.g. maturity and / or fruit quantity and / or ripeness. The sensor module is adapted for robotic placement within the greenhouse, although the module ay initially be placed by hand. The module is powered by internal batteries or a large capacitor or capacitor array and is recharged by a greenhouse robot that may comprise any of a robot arm configured for movement within a greenhouse via a conveyer or track system, a wheeled robot, or a drone.