Abstract: A method and computing system comprising identifying a plurality of robot configurations for each inspection point of a plurality of inspection points of a problem. A graph may be generated with each feasible robot configuration as a node on the graph. A distance may be calculated between a pair of feasible robot configurations. A shortest complete path connecting each node on the graph may be obtained based upon, at least in part, the distance between the pair of feasible robot configurations.

Abstract: A miniaturized, portable and automatic air-traffic control (ATC) system to determine the position of air vehicles is described. The system is composed by a portable control tower that detects manned air traffic equipped with ADS-B or transponder, and a computer compatible software to display the position of the detected air vehicles. This system is used in conjunction with a drone system, providing to the latter the air-traffic local information. The information given to the drone system allows performing automatic collision avoidance with the air vehicles detected in the flight area of the drone.

Abstract: A method for providing active fall prevention assistance to a user. The method includes one or more computer processors mapping a work area where a user performs a plan of tasks. The method further includes determining a safety configuration related to the user and the task. The method further includes instructing an autonomous device to attach a first tether between a first anchor point and a safety harness secured to the user. The method further includes analyzing real-time images of the work area and the user while the user performs the task. The method further includes determining that the user is at risk of falling. The method further includes responding to determining that the user is at risk of falling by instructing the autonomous device to attach a second tether between a second anchor point and the safety harness secured to the user.

Abstract: The present invention provides a robot system including: a movable human-collaborative robot including a human-collaborative robot, and a moving device that moves the human-collaborative robot mounted thereon; a control unit that controls the movable human-collaborative robot; and an approach sensor that detects approach of a human to the movable human-collaborative robot. The human-collaborative robot includes a human detection sensor that detects approach or contact of a human to or with the movable human-collaborative robot. When the approach sensor has detected the approach of a human, the control unit restricts the operation of at least the moving device and, when the human detection sensor has detected the approach of or contact with a human, the control unit performs control so as to stop the movable human-collaborative robot or so as to avoid the approach of or contact with the human.

Abstract: Various surgical systems are disclosed. A surgical system comprises a robotic system. The robotic system comprises a control unit; a robotic arm comprising an attachment portion; a first sensor system in signal communication with the control unit; and a second sensor system. The first sensor system is configured to detect a position of the attachment portion. A surgical tool is removably attached to the attachment portion. The second sensor system is independent of the first sensor system and is configured to detect a position of the surgical tool.

Abstract: For kinetic sizing, the dynamic torque to be provided by a robotic system may be based off of, in part, a maximum acceleration. Rather than trying to extract maximum acceleration from many samples, a relationship of velocity to acceleration from repetitive user inputs relative to a non-surgical target in different situations (e.g., accurate, fast, or balance tracing of the target movement) is established. The velocity for any given situation may be used to estimate the acceleration from the relationship. Rather than using many trajectory samples from many users, a synthetic trajectory may be used. The synthetic trajectory may be fit to user data while maintaining high-coverage properties for direction of movement for any given pose of the robot. Alternatively, a virtual trajectory decoupled from time is used. The virtual trajectory samples the directions at any given pose in a global high-coverage manner, without specifically using a time-dependent sequence of poses.

Abstract: A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed.

Abstract: A materials handling vehicle includes a camera, an odometry module to generate odometry data, a processor, and a drive mechanism. The camera captures images of an identifier for a racking system aisle and at least a rack leg portion positioned in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position in the aisle using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the expected vehicle position and the vehicle odometry-based position, and update the vehicle odometry-based position using the odometry error signal.

Abstract: A robot may include a base; a base link connected to the base; an arm link coupled to the base link; an arm connected to the arm link; a hand connected to the arm; a storage; and a controller. The base link and arm link move so that a center of a coupling shaft of the arm link and the arm moves in a line. When the robot is within a predetermined range of a latest coordinate, the robot moves to the return-to-origin position in a direction from the transfer direction, otherwise the controller calculates the transfer path based on past teaching, and determines if there is a path close to the latest coordinate. If there is path, the controller determines whether the hand section is outside of a safe area, and if so, pulls the hand to a safe area and then moves the robot to the return-to-origin position.

Abstract: Methods and systems for optimizing traffic flow. The system includes a plurality of vehicles each having a location sensor configured to detect location data and a transceiver configured to communicate the location data. The system also includes a remote data server. The remote data server is configured to receive the respective location data from the plurality of vehicles. The remote data server is also configured to determine swarm traffic flow data based on the respective location data from the plurality of vehicles. The remote data server is also configured to determine adjusted traffic light timing data to optimize traffic flow based on the swarm traffic flow data. The system also includes a plurality of traffic lights coupled to the remote data server and configured to receive the adjusted traffic light timing data and illuminate the plurality of traffic lights based on the adjusted traffic light timing data.

Abstract: A method and system for task execution in dynamic heterogeneous robotic environment is disclosed. The method includes extracting data associated with a plurality of data categories and further deriving a plurality of factors from the extracted data. The method further includes determining a plurality of correlations among the plurality of factors based on the deep learning network. The method further includes deriving a plurality of sentiment parameters for a set of factors from the plurality of factors based on the plurality of correlations. The method may further includes simulating execution of the at least one current task by employing a plurality of robots. The method may further includes iteratively re-adjusting at least one of the plurality of sentiment parameters based on reinforcement learning performed on a result of the simulating. The method may further includes executing the at least one current task by employing the plurality of robots.

Abstract: An artificial intelligence server for controlling a plurality of robots includes a communication unit and a processor. The communication unit is configured to communicate with the plurality of robots. The processor is configured to receive information including an operation and a deployment area corresponding to each of the plurality of robots, determine a first route corresponding to a first operation corresponding to a first robot among the plurality of robots, if the first operation corresponding to the first robot includes an operation for moving out of a first deployment area corresponding to the first robot, determine an area on the determined first route, in which at least one robot is deployed, determine an associated operation between the first robot and a second robot, wherein the second robot is deployed in the determined area, and update a second operation corresponding to the second robot or a second deployment area corresponding to the second robot, based on the determined associated operation.

Abstract: The invention relates to an operation-assistance system for guiding a medical auxiliary instrument (20), which can be inserted in an operating site (12) of a patient body (10) via an operation opening (11), and can be moved in a controlled manner. The system comprises a kinematic robot (3, 4, 5) that receives the medical auxiliary instrument (20) on the free end thereof by means of an auxiliary instrument holding device (6), and can be moved in a motor-controlled manner in order to guide the medical auxiliary instrument (20) in the operating site (12), by means of control signals (SS) generated by a control unit (CU). At least one voice control routine (SSR) is implemented in the control unit (CU), by means of which different voice commands (SB, SB1, SB2) are detected and evaluated and associated control signals (SS) are determined in accordance.

Abstract: Allocation result accumulation unit accumulates allocation results of each business operator that requests allocation of flight airspace of drone. Allocation result accumulation unit accumulates, as the allocation results, an allocated airspace amount represented by the size of allocated flight airspace and the period in which flight in the flight airspace is permitted. When allocation requests are received from multiple business operators, flight airspace allocation unit allocates flight airspace by giving priority to a high priority business operator according to the allocation results accumulated in allocation result accumulation unit with respect to each business operator. Flight airspace allocation unit allocates the flight airspace by assigning a higher priority to a business operator for which the allocated airspace amount that has been accumulated is small.

Abstract: A system for visual awareness confirmation may include an image capture device, a global positioning system, a processor, and an input/output device. The image capture device may capture an image of an operating environment through which a vehicle is travelling. The GPS may determine an associated position of the vehicle and an orientation of the image capture device, and associate the position of the vehicle with the image captured by the image capture device. The processor may identify a feature of the operating environment and formulate a question related to the feature. The I/O device may present the question to an occupant of the vehicle and receive a response to the question from the occupant of the vehicle. The processor may cross-reference data associated with the feature and the response and update an object recognition database based on the cross-referencing.

Abstract: Devices, systems, and methods related to autonomous transportation vehicle operation may include image augmentation arrangements for training and/or evaluating autonomous operations. Such augmentations may include artificial impressions of driving conditions which can prompt recovery operations.

Abstract: An unmanned aircraft system includes an aircraft control system that enables the safe operation of multiple unmanned aerial vehicles in the same airspace, through the use of a decentralized air traffic management system. The decentralized air traffic management system is robust against loss of communication between the unmanned aerial vehicle and does not require a centralized ground control system to coordinate the vehicles.

Abstract: ABSTRACT METHODS AND SYSTEMS FOR GENERATING AND USING LOCALISATION REFERENCE DATA 5 Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: A robot instructing apparatus includes a teaching pendant having a display and an inclination device. The inclination device outputs an inclination of the teaching pendant based on the inclination of the teaching pendant about at least one horizontal axis. The robot instructing apparatus also includes at least one processor that generates movement instructions to change a posture of the robot based on the inclination of the teaching pendant output by the inclination device during a teaching operation in which the movement instructions are generated.

Abstract: Disclosed are a robot system and a control method thereof. The robot system includes a first server, a first robot which is registered on the first server and which delivers an item to a user according to information received from the first server, a second robot which is configured to interoperate with the first robot and which receives the item from the first robot, and a second server on which the second robot is registered and which operates the second robot. The method for controlling the robot system includes transmitting customer information to the first robot by means of the first server, authenticating the first server, by means of the second robot, so as to allow the first server to access the second robot, and requesting the first robot, by means of the first server, to couple with the second robot so as to allow the first robot to operate in correspondence with operation of the second robot.