Abstract: A hybrid interchangeable battery evaluation tool (HIBET) is provided. HIBET determines an amount of electrical energy and an amount of jet fuel necessary for a hybrid electric aircraft to complete a flight based on a range of the flight, a payload of the hybrid electric aircraft, an indication of a battery mass limitation of the hybrid electric aircraft, and an optimization of an energy split between the electrical energy and the jet fuel. HIBET causes an indication of the amount of electrical energy to be displayed in a graphical user interface and/or to be otherwise outputted.

Abstract: A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The mobile robot may include cameras for capturing images and videos and include microphones for capturing audio of its surroundings. To improve privacy by preventing confidential information from being transmitted, the mobile robot may detect text in images and modify the images to make the text illegible before transmitting the images. The mobile robot may also detect human voice in audio and modify audio to make the human voice unintelligible before transmitting the audio.

Abstract: A character skin for a toy robot has an outer cover having an inner surface that is shaped to conform to an outer surface of a robot body housing of a self-propelled, toy robot. The outer cover can be fitted onto the robot body housing to cover an outer surface thereof and then removed from the housing, preferably with requiring a tool. The outer cover has an identification mechanism that provides an identification of a robot character software program, wherein the identification is electronically detected by the toy robot and in response the robot character software program is executed by the toy robot which changes behavior of the toy robot, whenever the outer cover is fitted onto the robot body housing. Other embodiments are also described and claimed.

Abstract: A cleaner performing autonomous traveling includes a main body, a driving unit moving the main body, a battery supplying power to the driving unit, a communication unit performing communication with a charging station to charge the battery, a sensor sensing a signal emitted from the charging station, and a controller controlling the driving unit such that the main body is docked to the charging station on the basis of the signal sensed by the sensor, wherein when the main body starts to move to dock to the charging station, the controller determines a kind of the signal sensed by the sensor and controls the driving unit such that the main body moves along a traveling path corresponding to a circle centered on a predetermined point on the basis of the determined kind of the signal.

Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: determine a current location of a vehicle on a road network comprising a plurality of different paths of travel using respective recursive Bayesian filters for each of the different paths of travel, wherein each recursive Bayesian filter is configured to compare data received from a sensor on the vehicle with predetermined map data for the respective path of travel to calculate a likelihood of the vehicle being currently located on the respective path of travel and a probability distribution of possible locations along this path of travel.

Abstract: Aspects of the disclosure relate to arranging a pick up and drop off locations between a driverless vehicle and a passenger. As an example, a method of doing so may include receiving a request for a vehicle from a client computing device, wherein the request identifies a first location. Pre-stored map information and the first location are used to identify a recommended point according to a set of heuristics. Each heuristic of the set of heuristics has a ranking such that the recommended point corresponds to a location that satisfies at least one of the heuristics having a first rank and such that no other location satisfies any other heuristic of the set of heuristics having a higher rank than the first rank. The pre-stored map information identifying a plurality of pre-determined locations for the vehicle to stop, and the recommended point is one of the plurality of pre-determined locations.

Abstract: The embodiments of the present disclosure provide a method of travel control, a device and a storage medium. In some exemplary embodiments of the present disclosure, a self-mobile device collects three-dimensional environment information on a travel path of itself in the travel process, identifies an obstacle area and a type thereof existing on the travel path of the self-mobile device based on the three-dimensional environment information, and the self-mobile device adopts different travel controls in a targeted manner for different types of the area, such that the obstacle avoidance performance of the self-mobile device is improved by adopting the method of the travel control in the present disclosure.

Abstract: A medical manipulator system according to the present invention is provided with: a manipulator; a manipulator channel; a route that extends along the manipulator channel; a shape sensor that detects shape information of the manipulator channel; a shape-sensor driving portion that causes the shape sensor to be driven; a manipulator driving portion that causes the manipulator to be driven; a positional-information calculating portion that calculates positional information of the shape sensor on the basis of a driven amount of the shape-sensor driving portion; a shape estimating portion that estimates a bent shape of the manipulator on the basis of the shape information of the manipulator channel and the positional information; a control-parameter calculating portion that calculates a control parameter of the manipulator from the bent-shape information; and a manipulator controller that controls the manipulator on the basis of the control parameter.

Abstract: A method for adaptively operating a cleaning robot based on height difference between floors and the cleaning robot are provided, and according to an embodiment of the present disclosure, the cleaning robot that adaptively operates based on the height difference between the floors includes a central controller that controls a height adjuster that controls a height of a floor cleaner based on height information related to a space stored in a map storage and height information sensed by a sensor.

Abstract: A method for a robotic cleaning device of detecting a difference in level of a surface in front of the robotic cleaning device moves. The method includes illuminating the surface with light, capturing an image of the surface, detecting a luminous section in the captured image caused by the light, identifying at least a first segment and a second segment representing the detected luminous section, and detecting, from a positional relationship between the identified first and second segment, the difference in level of the surface.

Abstract: Described herein are systems, devices, and methods for localizing and recognizing an object in an environment. In an example, a mobile cleaning robot comprises a drive system to move the mobile cleaning robot about an environment, an imaging sensor to take images of an object in the environment from different perspectives. The multiple observations include images of the object that is at least partially occluded by an obstacle. A controller circuit of the mobile robot can, for multiple different locations in a map of the environment, calculate respective fractional visibility values using the plurality of images. The fractional visibility values each represent a probability of the object being visible through the corresponding location. The controller circuit can localize and recognize the object based on the fractional visibility values at the multiple locations on the map.

Abstract: A moving robot and a control method thereof according to the present invention create a cleaning map including information on a travelable area of a cleaning area based on obstacle information, create a create a manufactured user map by changing forms and outlines by area with respect to a plurality of area configuring the cleaning map, and create a user map having a form similar to that of the cleaning are in a real indoor space by changing a form and an outline of a map including information on the travelable area according to an arear, so that a user easily recognizes a position of each area to input a cleaning command through the map, and a cleaning command with respect to an area which the moving robot cannot run is prevented from being input. Since the moving robot does not unnecessarily move an area, operation power consumption is reduced. The moving robot may run a cleaning area with limited power to efficiently clean the cleaning area.

Abstract: A robotic cleaning apparatus for performing a cleaning operation and a method of cleaning a cleaning space therefor are provided. The method includes acquiring contamination data indicating a contamination level of the cleaning space, acquiring contamination map data based on the contamination data, determining at least one cleaning target area in the cleaning space, based on a current time and the contamination map data, and cleaning the determined at least one cleaning target area. The method and apparatus may relate to artificial intelligence (AI) systems for mimicking functions of human brains, e.g., cognition and decision, by using a machine learning algorithm such as deep learning, and applications thereof.

Abstract: A photovoltaic-module cleaning robot, an obstacle-surmounting method and device thereof are provided according to the present application. If the photovoltaic-module cleaning robot gets stuck during obstacle-surmounting, a lower end motor of the photovoltaic-module cleaning robot is controlled to operate reversely, so that the lower driving wheels thereof rotate reversely; an upper end motor of thereof is controlled to stop operating, so that the upper driving wheels thereof have no drive; and then, the photovoltaic-module cleaning robot is gradually restored to a horizontal state, and if it is determined that the photovoltaic-module cleaning robot meets a forward moving condition, the upper end motor and the lower end motor of the photovoltaic-module cleaning robot are controlled to simultaneously rotate forward to realize moving forward, thereby solving the problem of easily getting stuck at a drop height between adjacent modules.

Abstract: A navigation system includes a user interface for detecting touch input. The system uses touch input to determine if a driver or passenger is operating the navigation system. If the system determines that the driver is operating the system, then an action is initiated (e.g., the user interface is locked down, a warning is provided). The navigation system allows a passenger in the vehicle to operate the navigation system while the vehicle is in motion. In an aspect, additional or other sensors (e.g., seat sensor, seat belt sensor, infrared sensor) can be used to detect whether a driver or passenger is operating the navigation system while the vehicle is in motion.

Abstract: A cleaning system may include a first mobile robot, a communication unit configured to communicate with a second mobile robot that emits a second signal, and a controller configured to recognize the location of the second mobile robot using the second signal, and control a moving speed of the first mobile robot such that the second mobile robot follows a trajectory corresponding to the movement of the first mobile robot based on the recognized location. The controller may transmit a first signal to the second mobile robot in response to the first mobile robot approaching the second mobile robot to within a distance less than a threshold distance from the second mobile robot, and control avoidance moving of the first mobile robot and the second mobile robot based on the second signal of the second mobile robot responding to the first signal.

Abstract: The present disclosure provides a cleaning robot that communicates with peripheral devices over a 5G communication network and that preferentially cleans a region that needs to be cleaned the most based on the communication. Based on information about the use of a user terminal used in a movement space in which the cleaning robot moves or a collecting terminal collecting information about the behavior or locations of a user moving in the movement space, the cleaning robot preferentially moves to a region in which the user terminal or the collecting terminal is rarely used. That is, a region in which a user rarely travels, i.e. a region in which a large amount of dust or foreign substances is liable to accumulate, is cleaned preferentially by the cleaning robot, whereby the cleaning efficiency of the cleaning robot is improved.

Abstract: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

Abstract: An apparatus includes a video capture device and a processor. The video capture device may be mounted at a low position. The video capture device may be configured to generate a plurality of video frames that capture a field of view upward from the low position. The processor may be configured to perform video operations to generate dewarped frames from the video frames and detect objects in the dewarped frames, extract data about the objects based on characteristics of the objects determined using said video operations, perform path planning in response the extracted data and generate a video stream based on the dewarped frames. The video operations may generate the dewarped frames to correct a distortion effect caused by capturing the video frames from the low position. The path planning may be used to move the apparatus to a new location. The apparatus may be capable of autonomous movement.

Abstract: An automatic aircraft positioning system includes a first aircraft including one more fiducials, and a second aircraft including a positioning radar, control devices that are configured to control operation of the second aircraft, and a control unit in communication with the positioning radar and the control devices. The positioning radar is configured to transmit a radar transmit signal. The one or more fiducials are configured to receive the radar transmit signal and output one or more return signals in response to the radar transmit signal. The positioning radar is configured to receive the one or more return signals and determine a position and orientation of the second aircraft relative to the first aircraft, or vice versa, from the one or more return signals. The control unit is configured to automatically control the second aircraft in relation to the first aircraft during an automatic positioning mode.