Abstract: A medical handling device which includes an instrument holder that supports and instrument and a robotic handling unit that supports the instrument hold, and a control device. The control device has a handling control unit that controls the robotic handling unit and an instrument control unit that controls the instrument. The control device has an interface for at least one input device. An input device is coupled to the interface. The input device is operable in a first operating mode to control the instrument and in a second operating mode to control the robotic handling unit. An enabling switch activates the second operating mode, in which the robotic handling unit is movable in response to input commands at the input device.

Abstract: A method includes obtaining an implant plan, defining a range of motion for a surgical tool based on the implant plan, adjusting, by an actuator and based on the range of motion, a passive joint coupled between the actuator and the surgical tool, and allowing manual movement of the surgical tool through the range of motion via rotation at the passive joint.

Abstract: A system for performing interactions within a physical environment, the system including: a robot having a robot base that undergoes movement relative to the environment and a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; a communications system including a fieldbus network; a tracking system including a tracking base positioned in the environment and connected to the fieldbus network, and a tracking target mounted to a component of the robot, wherein the tracking base is configured to detect the tracking target to allow a position and/or orientation of the tracking target relative to the tracking base to be determined; and a control system that communicates with the tracking system via the fieldbus network to determine the relative position and/or orientation of the tracking target and controls the robot arm in accordance with the relative position and/or orientation of the tracking target.

Abstract: Methods and apparatus for route selection to a destination may include receiving a starting point and one or more destinations, and transmitting a request to a server for routes associated with the starting point and the one or more destinations. Additionally, the methods and apparatus may include receiving, from the server, a plurality of routes to the one or more destinations. Furthermore, the methods and apparatus may include selecting a route from the plurality of routes based at least on one or more reliability parameters associated with each route of the plurality of routes, the one or more reliability parameters comprising a likelihood of determining a position location along each route, the likelihood being based at least on detectability of features in each route by one or more object detection modalities.

Abstract: A smart drilling system includes a terminal configured to map a design space to an actual space and having perforation location information in the design space, a drilling machine including a drill for perforation and configured to perform perforation in the actual space under control of the terminal based on the perforation location information, and a total station configured to acquire location information of a reference point in the actual space for mapping the design space to the actual space and location information of the drilling machine in the actual space, and to transmit the location information of the reference point in the actual space and the location information of the drilling machine to the terminal, wherein the terminal recognizes and displays a perforable region or a perforable point at a current position of the drilling machine.

Abstract: The invention concerns a method for estimating the angular velocity (and, preferably, also the attitude) of a space platform (for example, a satellite, a space vehicle, or a space station) using only the information provided by one or more optical sensors, such as one or more star trackers, one or more colour and/or black and white cameras or video cameras, one of more infrared sensors, etc.

Abstract: A catheter procedure system includes a bedside system having a guide wire, a guide wire advance/retract actuator coupled to the guide wire and a guide wire rotate actuator coupled to the guide wire and a workstation coupled to the bedside system. The workstation includes a user interface, at least one display and a controller coupled to the bedside system, the user interface and the at least one display. The controller is programmed to advance the guide wire through a path using the guide wire advance/retract actuator, wherein the guide wire is rotated a predetermined amount.

Abstract: A surgical system, method, and non-transitory computer readable medium involving a robotic manipulator configured to move a surgical instrument relative to virtual boundaries. A navigation system tracks each of a first object, a second object, and the surgical instrument. The first object is moveable relative to the second object. One or more controllers associate a first virtual boundary with the first object and associate a second virtual boundary with the second object. The first virtual boundary is moveable in relation to the second virtual boundary. The controller(s) control the robotic manipulator in relation to the first virtual boundary to facilitate interaction of the surgical instrument with the first object. The controller(s) control the robotic manipulator in relation to the second virtual boundary to avoid interaction of the surgical instrument with the second object.

Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

Abstract: A work robot system including a conveying apparatus that conveys an object, a robot that performs a predetermined task on a target portion of the object being conveyed by the conveying apparatus, a controller that controls the robot, a sensor that is attached to the robot and successively detects a position, relative to the robot, of the target portion of the object being conveyed by the conveying apparatus, and a force detector that detects a force generated by a contact between the object and a part supported by the robot. When the robot is performing the predetermined task, the controller performs force control based on a detection value of the force detector while controlling the robot by using a detection result of the sensor.

Abstract: Systems and methods for performing concomitant medical procedures are disclosed. In one aspect, the method involves controlling a first robotic arm to insert a first medical instrument through a first opening of a patient and controlling a second robotic arm to insert a second medical instrument through a second opening of the patient. The first robotic arm and the second robotic arm are part of a first platform and the first opening and the second opening are positioned at two different anatomical regions of the patient.

Abstract: A robotic fastening system is operative to autonomously fasten a first subassembly to a second subassembly at a plurality of fastening sites. A set of actuators arranged to move a fastening tool to the various ones of the fastening sites. A proximity sensor is fixed proximate the fastening tool and movable with the fastening tool. A controller circuit is operative to individually control each of the set of actuators and to read an output of the proximity sensor, where the controller circuit is programmed to execute a fastening-tool movement routine to move the fastening tool to a first one of the fastening sites.

Abstract: A control apparatus that controls a plurality of robots, includes a failure prediction part that predicts a time of failure with respect to each component of the robots, a maintenance time adjustment part that adjusts maintenance times of the plurality of robots based on the components for which the times of failure are predicted, and a load adjustment part that adjust workloads of the robots according to the predicted times of failure for activation until the maintenance times.

Abstract: Embodiments of present disclosure relate to adjusting a robot motion path. In the method for adjusting a robot motion path, a first processing procedure may be performed on a first workpiece to obtain a first product. Then, first process data may be obtained, where the first process data describes an attribute of the first processing procedure for obtaining the first product from the first workpiece. Next, based on the obtained first process data, a robot motion path of a second processing procedure that is to be performed on the first product by a robot may be adjusted. Further, embodiments of present disclosure provide apparatuses, systems, and computer readable media for adjusting a robot motion path.

Abstract: A method (50) of acquiring images of a terrestrial region Z using a spacecraft (10) in non-geostationary orbit around the Earth (30), the spacecraft includes an observation instrument associated with a ground footprint of length L along the direction of travel, the method includes: a step (51) of observing a portion P1 of the terrestrial region Z, including a step of controlling the attitude of the spacecraft (10) during which the ground footprint is kept stationary during the entirety of the step of observing portion P1, and a step of acquiring an image of portion P1, a step (52) of modifying the pitch attitude of the spacecraft (10) so as to place the ground footprint over a portion P2 of the terrestrial region Z, and a step (53) of observing portion P2 of the terrestrial region.

Abstract: A method for the use in offshore crew transfer when transferring a person between a crew transfer vessel and a structure or vice versa where a prediction system for predicting vessel bow motion in response to sea waves detected by said wave detection device is used. An indicator is adapted to indicate a prediction of vessel bow motion below a first bow motion threshold value within a first predetermined time period based on said prediction system. The transfer of the person only takes place when said vessel bow motion is indicated to be below the first vessel bow motion threshold value within the first predetermined time period.

Abstract: An autonomous drive ECU 1 includes: at least two microcomputers 10 and 30 capable of receiving sensing data from a plurality of sensors 61; failure detection units 11 and 31 that detect a failure of the plurality of sensors 61 or the microcomputers 10 and 30; a mode selection unit 33 that selects a normal operation mode and a fallback operation mode; and a sensor selection unit that selects the sensor 61 based on a failure part detected by the failure detection unit 31 or a surrounding situation of an own vehicle calculated from the sensing data. Any of the at least two microcomputers 10 and 30 generates a drive signal for operating an actuator using the sensing data received from the sensor 61 selected by the sensor selection unit in the case of the fallback operation mode.

Abstract: A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of objects placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each object, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the object by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the object, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.

Abstract: A rigging equipment diagnostic device includes a processor and a storage to store a program to be executed by the processor. The processor executes an equipment information collection process in which information on equipment fitted to a hull is collected, an attribute information acquisition process in which an attribute database to store attribute information including information on functions to be realized is searched and attribute information on equipment fitted to the hull is acquired, a requirement information acquisition process in which requirement information is acquired by searching a requirement database that stores requirement information necessary to realize functions corresponding to respective attribute information, a function determination process in which a realizable function and an unrealizable function are determined by comparing equipment information and requirement information, and a function information provision process in which the determination result is provided.

Abstract: A vehicle control apparatus has a steering wheel 6, an engine 4 for outputting a driving force of a vehicle 1, a brake apparatus 16 capable of applying different braking forces to left and right wheels, and a PCM 14 including a processor and the like. When executing vehicle yaw control, which controls the brake apparatus 16 to apply to the vehicle 1 a yaw moment in the direction opposite to the yaw rate generated in the vehicle 1, after executing vehicle attitude control for reducing an output torque of the engine 4 based on a turning operation of the steering wheel 6, when the control amount of the vehicle attitude control is large, the PCM 14 increases the control amount of the vehicle yaw control compared to when the control amount of the vehicle attitude control is not large.