Abstract: An image acquisition device for a work device performing a task on a target. The image acquisition device includes: an imaging device capturing an image of the target; and an imaging tool that includes a model of the work device and is operable by an operator. The imaging device is attachable to and detachable from each of the work device and the imaging tool, such that that a relative position between the imaging device and the model and that between the imaging device and the work device are identical when the imaging device is attached to the model and the work device. The imaging device captures a part of the model and a part of the work device along with the target when the imaging device is respectively attached to the imaging tool and the work device, the part of the model corresponding to the part of the work device.

Abstract: A computer-implemented control system and method for dynamically managing airflow in an air lubrication system of a vessel are disclosed. Real-time sensor data including vessel motion, acceleration, and speed-through-water are processed by a controller executing a machine learning model to predict near-future sea-state conditions. The controller accesses and interpolates computational fluid dynamics (CFD) efficiency profiles to determine target airflow values and generate valve and compressor commands that modulate airflow to multiple outlets beneath the hull. Feedback from hull and pressure sensors is used to stabilize the air layer, while a learning-based prediction engine continuously refines CFD profiles to improve operational efficiency and reduce parasitic load. The system enhances vessel hydrodynamic performance and fuel economy under varying environmental conditions.

Abstract: Techniques for operating a kinematic structure by manual motion of a link coupled to the kinematic structure include a system comprising a first manipulating means and processing means. The processing means is for detecting whether a first means for accessing an internal worksite is mounted to the first manipulating means; detecting an input indicating the system is to be in a set-up mode; and inhibiting, in response to detecting that the first means is mounted to the first manipulating means, transition of the system to the set-up mode.

Abstract: A control device for controlling an industrial machine, the control device comprising: an image operating unit that displays an image captured by a visual sensor on a display screen, and accepts a user operation with respect to the image; and a motion control unit that controls a motion of the industrial machine so as to move a visual field of the visual sensor displayed as an image on the display screen, in accordance with the accepted user operation.

Abstract: A teaching device is used in an industrial machine system in which information is acquired using a sensor and a task is performed with respect to a workpiece. The teaching device includes: an execution history screen display unit for displaying an execution history screen that presents one or more pieces of execution history pertaining to an execution result of a program performing sensor-based processing, and for accepting an operation to select a single piece of execution history; and a modification screen display unit for restoring the selected single piece of execution history to a program and displaying a modification screen for modifying a configuration parameter of the program in which the execution history is restored.

Abstract: A method for controlling an autonomous, mobile robot which is designed to navigate independently in a robot deployment area, using sensors and a map. According to one embodiment, the method comprises detecting obstacles and calculating the position of detected obstacles based on measurement data received by the sensors, and controlling the robot to avoid a collision with a detected obstacle, the map comprising map data that represents at least one virtual blocked region which, during the control of the robot, is taken into account in the same way as an actual, detected obstacle.

Abstract: A robotic cosmetic application device, and techniques for controlling the device, are provided. The device may include sensors that capture real-time data associated with a user's face and robotic arms equipped with makeup applicator tools. The device may receive an indication of a makeup look selected by the user; analyze the real-time data associated with the user's face in order to generate a three-dimensional map associated with the face of the user, identify facial features of the user's face on the three-dimensional map; and control the robotic arms to automatically adjust the makeup applicator tools with respect to the user's face, to apply one or more cosmetic products to the user's facial features in order to achieve the makeup look selected by the user.

Abstract: A method for the safety control, through direct teaching, of a robotised system comprises a learning step, wherein a processing unit determines a relative distance (RD) between at least one link (L) of the robot manipulator and an operator (O) and controls whether the relative distance (RD) of the at least one link (L) exceeds a predefined distance threshold value (TV); wherein the predefined distance threshold value (TV) is equal to or greater than the distance covered by the robot manipulator in the amount of time needed to stop starting from a respective maximum linear speed (VMAX); in case the relative distance (RD) is smaller than the predefined distance threshold value (TV), the method entails stopping the robot.

Abstract: A control device for an electrified vehicle includes: an acquisition unit for acquiring a temperature of a motor which is a driving power source of an electrified vehicle and an index value indicating ease of temperature rise of the motor; an execution unit that executes a notification process for notifying a driver of electrified vehicle of a warning when a temperature of the motor is equal to or higher than a first temperature and lower than a second temperature; a limitation unit that limits a torque of the motor when a temperature of the motor is equal to or higher than the second temperature; and a setting unit that sets the first temperature to a lower temperature than a temperature when the index value is equal to or higher than a threshold value when the index value is equal to or higher than the threshold value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for robotic control using demonstrations to learn category-level manipulation task. One of the methods includes obtaining a collection of object models for a plurality of different types of objects belonging to a same object category and training a category-level representation in a category-level space from the collection of object models. A category-level trajectory is generated the demonstration data of a demonstration object. For a new object in the object category, a trajectory projection is generated in the category-level space, which is used to cause a robot to perform the robotic manipulation task on the new object.

Abstract: A navigation system includes an evaluation unit for evaluating a degree of a health state quality for a driver of a moving body, and a route guidance unit for searching a route from a current position of the moving body to a destination, and for performing guidance of the searched route, the route guidance unit determines a search condition of a route to the destination based on an evaluation result of a health state of the driver in the evaluation unit.

Abstract: In a voice output device, the storage unit stores priority predetermined for each type of marks used in voice guidance at guidance points. The guidance voice generation unit determines the mark to be used for voice guidance at the guidance point based on the priority, for each of the guidance points included in a guide route of a mobile body, and generates guidance voice using the determined mark. The voice output unit outputs the generated guidance voice at an utterance point where the guidance voice for the guidance point is to be uttered.

Abstract: Some aspects provide a method for instructing operation of a robotic floor-cleaning device based on the position of the robotic floor-cleaning device within a two-dimensional map of the workspace. A two-dimensional map of a workspace is generated using inputs from sensors positioned on a robotic floor-cleaning device to represent the multi-dimensional workspace of the robotic floor-cleaning device. The two-dimensional map is provided to a user on a user interface. A user may adjust the boundaries of the two-dimensional map through the user interface and select settings for map areas to control device operation in various areas of the workspace.

Abstract: Provided are methods, systems, and computer program products for autonomous vehicle validation using real-world adversarial events are described herein. The method includes obtaining a record of human driver data and extracting at least one safety critical scenario from the record to create a test data set associated with operation of vehicles by human drivers during safety critical scenarios. The method includes simulating operation of a vehicle under evaluation during safety critical scenarios and comparing a response of the vehicle under evaluation to the operation of vehicles by human drivers. The method further includes validating a response of the vehicle under evaluation during the simulated operation according to the test data set by transforming the vehicle response into a safety indicator.

Abstract: Techniques for determining adversarial cost(s) representing an object in an environment are described herein. For example, a vehicle may generate candidate action(s) (or trajectories) and input such candidate actions into a tree structure. The vehicle can determine a control trajectory for the vehicle to follow based a determining which of the candidate actions to follow at each layer in the tree structure. The vehicle can determine which candidate action to follow based on determining adversarial cost(s). To generate the adversarial cost(s), the vehicle can detect an object and determine associated object trajectories. Based on a likelihood that the object will deviate from a predicted object trajectory, the vehicle can determine one or more sub-factors that may be combined to generate the adversarial cost(s). The vehicle can be controlled based on the adversarial cost(s).

Abstract: Observed driveline mean and variance data are used for determining the variance of a trajectory of tracked objects for use by a host vehicle. A map of a portion of a vehicle transportation network are determined, wherein the map is comprised of observed driveline mean and variance data for one or more map points. At least one trajectory of a tracked object is predicted, wherein a trajectory includes a series of location each corresponding to a respective predicted position of the tracked object at a future time. A map-based variance is generated for the location of the trajectory using a smoothed curvature of the trajectory within the map. A control system of the vehicle operates the vehicle using the map-based variance as input.

Abstract: A telepresence robot may include a drive system, a control system, an imaging system, and a mapping module. The mapping module may access a plan view map of an area and tags associated with the area. In various embodiments, each tag may include tag coordinates and tag information, which may include a tag annotation. A tag identification system may identify tags within a predetermined range of the current position and the control system may execute an action based on an identified tag whose tag information comprises a telepresence robot action modifier. The telepresence robot may rotate an upper portion independent from a lower portion. A remote terminal may allow an operator to control the telepresence robot using any combination of control methods, including by selecting a destination in a live video feed, by selecting a destination on a plan view map, or by using a joystick or other peripheral device.

Abstract: A robot includes a gas collector; a gas sensor configured to sense a gas collected by the gas collector; a camera; a driver; and a processor configured to: based on the gas sensed by the gas sensor identified as a first type gas, control the driver to decrease a moving speed of the robot, identify a gas generating area based on data sensed by the gas sensor while the robot is moving at the decreased speed, and control the camera to capture the identified gas generating area.

Abstract: A method may include sending a query to one of a cobot or an LLM, where the query may be formed to trigger the cobot to perform a target objective, and where the LLM may be constrained to respond to requests to cause the cobot to perform a given objective with a set of human-readable discrete tasks to accomplish the given objective. The method may also include receiving a target set of human-readable discrete tasks from the LLM, where the target set of human-readable discrete tasks may correspond to target computer-readable code that is configured to cause the cobot to perform the target objective. The method may additionally include auditing the target set of human-readable discrete tasks, and, based on the target set of human-readable discrete tasks passing the audit, authorizing the cobot to implement the target computer-readable code to perform the target objective.

Abstract: Provided are systems and methods for generating a three-dimensional model from an intra-oral optical coherence tomography scan.