Abstract: Disclosed are a moving robot and a control method thereof, and the moving robot performs cleaning by moving based on a map and is able to determine, based on a global localization function, the current position on the map no matter where the moving robot is positioned, so that the moving robot is capable of recognizing the current position on the map, and, even when the position of the moving robot is arbitrarily changed, the moving robot is able to recognize the position thereof again and move to an exact designated area, so that the moving robot is capable of perform designated cleaning and move rapidly and accurately, thereby performing cleaning efficiently.

Abstract: Systems and methods for determining safe and unsafe zones in a workspace—where safe actions are calculated in real time based on all relevant objects (e.g., some observed by sensors and others computationally generated based on analysis of the sensed workspace) and on the current state of the machinery (e.g., a robot) in the workspace—may utilize a variety of workspace-monitoring approaches as well as dynamic modeling of the robot geometry. The future trajectory of the robot(s) and/or the human(s) may be forecast using, e.g., a model of human movement and other forms of control. Modeling and forecasting of the robot may, in some embodiments, make use of data provided by the robot controller that may or may not include safety guarantees.

Abstract: A display control device includes an image receiving unit that receives an image captured by an imaging device included in a work machine and a display control unit that processes the image based on a movement amount of the work machine in receipt delay time of the image, and generates a display signal.

Abstract: An object positioning method and apparatus is disclosed. The object positioning apparatus may obtain a reference position of an object, obtain a map-based heading angle of the object based on waypoints on a map, and determine a current position of the object based on the reference position and the map-based heading angle.

Abstract: Systems and methods for determining safe and unsafe zones in a workspace—where safe actions are calculated in real time based on all relevant objects (e.g., some observed by sensors and others computationally generated based on analysis of the sensed workspace) and on the current state of the machinery (e.g., a robot) in the workspace—may utilize a variety of workspace-monitoring approaches as well as dynamic modeling of the robot geometry. The future trajectory of the robot(s) and/or the human(s) may be forecast using, e.g., a model of human movement and other forms of control. Modeling and forecasting of the robot may, in some embodiments, make use of data provided by the robot controller that may or may not include safety guarantees.

Abstract: A control terminal for controlling an unmanned aerial vehicle (UAV) includes a processor and a storage medium storing instructions that, when executed by the processor, cause the processor to render an image on a user interface of the control terminal. The image is captured by an imaging device coupled to the UAV and is associated with a view of the imaging device. The instructions further cause the processor to detect, via the user interface, a gesture-based input including one or more reference points in the image and indicating a view change of the imaging device, determine a type of the gesture-based input by analyzing the one or more reference points, and generate control data based on the type of the gesture-based input to control at least one of the UAV or the imaging device for the view change of the imaging device.

Abstract: The present disclosure relates to a computer-implemented process for evaluating user activity, user preference, and/or user habit via one or more personal devices and providing precisely timed and situationally targeted content recommendations. It is an object of the present disclosure to provide a technological solution to the long felt need in small scale content recommendation systems caused by the technical problem of generating situationally targeted and user preference targeted content recommendations for users of an interactive electronic system.

Abstract: An educational system may include a contextualizer that accesses and processes content items and build a knowledge base including educational content and relationships between content items. The system may include a user assessor unit that determines user assessment variables based on user responses to previous educational content items and generate a user model based on the user assessment variables. The system may include a recommender that navigates the knowledge base and generates recommendations of new educational content based on the user model. The recommendation can assess the user's proficiency on a given concept based on the user model and maximize the user's probability of success around the concept of which the user shows proficiency, or improve the user's proficiency around the concept the user shows weakness. In some examples, the system may acquire an expert's knowledge about certain concepts to refine the user model, increasing the accuracy of the recommender.

Abstract: A control device operates a drone with an onboard camera. The control device obtains a current performance metric to be computed for an activity performed by an individual, determines, based on a positioning rule associated with the current performance metric, a selected relative position, SRP, between the individual and the onboard camera, identifies a reference plane of the individual, operates the drone to move the onboard camera from an initial relative position to attain the SRP in relation to the reference plane; operates the onboard camera, when in the SRP, to capture image(s) of the individual, and provides the image(s) for computation of the current performance metric for the activity performed by the individual. The SRP may be defined, by the positioning rule, to ensure that the orientation of the individual in the image(s) is relevant or optimal for the current performance metric.

Abstract: One variation of a method for executing autonomous rideshare requests includes: following arrival of an autonomous vehicle proximal a pickup location specified in a rideshare request submitted by a user, setting a user arrival timer for a first duration and a depart timer for a second duration exceeding the first duration; serving a state of the user arrival timer to a mobile computing device affiliated with the user; rendering a state of the depart timer on an external display arranged on the autonomous vehicle; in response to failure of the user to arrive at the autonomous vehicle prior to expiration of the user arrival timer, departing from the pickup location without the user; and, in response to the user arriving at the autonomous vehicle prior to expiration of the user arrival timer, departing from the pickup location with the user prior to expiration of the delay timer.

Abstract: An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

Abstract: Robotic system and method are described for performing latency managed telesurgery. The system comprises drone(s) to create a wireless network in one or more geographic areas between a surgical site and a remote surgeon. The system further comprises a computer that is configured to: receive a request that indicates that a telesurgery is to be performed between the first location and the second location at a scheduled time; determine that one or more equipment is available for use at the surgical site for the telesurgery at the scheduled time; send a first instruction that triggers measurement of a latency of the wireless network; determine, during the telesurgery, whether the latency of the wireless network is acceptable; and send a first message that indicates that the latency is not acceptable, where an operation of the drone(s) is adjusted or an additional drone is deployed in the one or more geographic areas.

Abstract: [Object] To enable further suppression of the movement amount of an arm section when switching states. [Solution] There is provided a control apparatus configured to execute a current tracking control on a basis of a measurement value of a torque sensor of an actuator provided in at least one of multiple joint sections included in an arm section of a medical support arm apparatus, the current tracking control causing a motor of the actuator to output torque by which a position and an attitude of the arm section are maintained, and switch a first state in which the motor is driven in accordance with a predetermined control method, and a second state in which the joint section is locked using a brake of the actuator.

Abstract: A method of and a system for displaying an aircraft control input. The method comprises accessing a first indication indicative of an aircraft control input, the aircraft control input being associated with an orientation and an amplitude of the aircraft control input; generating, by a processing unit, a first single visual indication based on the first indication, the first single visual indication being reflective of the orientation and the amplitude of the aircraft control input; and causing the display of the first single visual indication on a display surface, the display of the first single visual indication providing a user viewing the first single visual indication with an understanding of the orientation and the amplitude of the aircraft control input.

Abstract: An unmanned helicopter platform includes a fuselage, a tail coupled with the fuselage, a payload rail coupled with and extending along the fuselage and a main rotor assembly coupled with the fuselage. The tail includes a tail rotor and a tail rotor motor. The main rotor assembly includes a main rotor having an axis of rotation and a main rotor motor. The payload rail allows mechanical connection of payloads to the fuselage and positioning of the payloads such that a center of gravity of the payloads is alignable with the axis of rotation. A system for controlling the unmanned helicopter includes a processor and a memory for providing instructions to the processor. The processor can receive a task, dynamically determine a route for the task and autonomously perform the task including flying along at least part of the route. The route is based on the task, geography and terrain.

Abstract: An unmanned vehicle control system includes: a specified command value calculation unit that calculates a specified command value for start of an unmanned vehicle; a corrected command value calculation unit that, when request data requesting a limitation of a travel speed of the unmanned vehicle is acquired, corrects the specified command value based on the request data to calculate a corrected command value; and a travel control unit that, when the request data is acquired, controls the start of the unmanned vehicle based on the corrected command value.

Abstract: A shovel includes a traveling undercarriage, an upper turning structure, an attachment, an end attachment position detecting device, an object detecting device, and a processor. The upper turning structure is turnably mounted on the traveling undercarriage. The attachment is attached to the upper turning structure, and includes an end attachment at an end thereof. The end attachment position detecting device is configured to detect the position of the end attachment. The object detecting device is configured to detect the position of an object. The processor is configured to control the movement of at least one of the attachment and the upper turning structure, based on the relative positional relationship between the excavation completion position of the end attachment and the position of the object.

Abstract: A mobile robot control method includes: acquiring a first image that is captured by a camera on a robot when the robot is in a desired pose; acquiring a second image that is captured by the camera on the robot when the robot is in a current pose; extracting multiple pairs of matching feature points from the first image and the second image, and projecting the extracted feature points onto a virtual unitary sphere to obtain multiple projection feature points, wherein a center of the virtual unitary sphere is coincident with an optical center of coordinates of the camera; acquiring an invariant image feature and a rotation vector feature based on the multiple projection feature points, and controlling the robot to move until the robot is in the desired pose according to the invariant image feature and the rotation vector feature.

Abstract: A variable type flex brake system includes: a driving control unit that receives interior or exterior information of a vehicle, provides an autonomous driving control mode or a normal driving control mode, calculates a required braking force in the autonomous driving and normal driving control modes, and generates a braking force signal corresponding to the required braking force; a first selection unit selecting a braking slope corresponding to a speed belonging to any one of low-speed, medium-speed, and high-speed sections to generate a first braking map; a second selection unit selecting a braking slope corresponding to a speed belonging to remaining speed sections that are not selected in the first selection unit, to generate a second braking map; and a braking control unit generating a braking-hydraulic-pressure signal based on the first or second braking map in response to the required braking force signal.

Abstract: A system and method comprises marking or identifying an object to be perceptible to robot, while being invisible or substantially invisible to humans. Such marking can facilitate interaction and navigation by the robot, and can create a machine or robot navigable environment for the robot. The machine readable indicia can comprise symbols that can be perceived and interpreted by the robot. The robot can utilize a camera with an image sensor to see the indicia. In addition, the indicia can be invisible or substantially invisible to the unaided human eye so that such indicia does not create an unpleasant environment for humans, and remains aesthetically pleasing to humans. For example, the indicia can reflect UV light, while the image sensor of the robot can be capable of detecting such UV light. Thus, the indicia can be perceived by the robot, while not interfering with the aesthetics of the environment.