G05D2107/65

AUTOMATED DISPENSING CABINET TRIP MANAGEMENT SYSTEM
20240290477 · 2024-08-29 ·

A method for managing trips from a pharmacy may include receiving a plurality of transaction records that, as received, represent an independent transaction of a plurality of transactions at an ADC. The plurality of transaction records may include: time information between respective transactions and an elapsed time for a portion of the plurality of transactions. The method may include identifying, based at least in part on: (i) a comparison of the time information between respective transactions and a threshold inter-transaction trip time; and (ii) a comparison of the elapsed time for the portion and a threshold elapsed trip time, a sequence of the portion as a unique trip from a pharmacy. The method may include annotating, with an identifier for the unique trip, a portion of the plurality of transaction records representing the portion of the plurality of transactions. Related methods and articles of manufacture are also disclosed.

CONTROL SYSTEM, CONTROL METHOD, AND NON-TRANSITORY STORAGE MEDIUM

A control system according to the present disclosure performs system control for controlling a system including a mobile robot that is autonomously movable and operable by a user. The mobile robot includes at least one light-emitting unit. The system control includes mode switch control of switching between an autonomous movement mode and a user operation mode, and the light emission control of controlling the light-emitting unit to emit light in different light emission patterns associated with a plurality of predetermined conditions. The light emission control includes controlling the light-emitting unit to emit light in different light emission patterns, for at least one of the predetermined conditions, depending on whether the mobile robot is in the autonomous movement mode or the user operation mode.

AUTONOMOUS MOVING SYSTEM, AUTONOMOUS MOVING METHOD, AND STORAGE MEDIUM

An autonomous moving system according to the present disclosure is an autonomous moving system including an autonomous moving body that moves autonomously. The autonomous moving system includes a control unit that executes control of movement of the autonomous moving body including collision control, a setting unit that sets a defense space around the autonomous moving body, for executing the collision control, a detecting unit that detects obstructions in a vicinity of the autonomous moving body, and a classifying unit that classifies obstructions that are detected. The setting unit changes a range of the defense space, based on the obstructions that are classified by the classifying unit, and the control unit executes control of movement of the autonomous moving body including the collision control in at least one of when the obstruction is inside the defense space and when the obstruction is predicted to enter the defense space.

AUTONOMOUS MOVING SYSTEM, AUTONOMOUS MOVING METHOD, AND STORAGE MEDIUM

An autonomous moving system according to the present disclosure includes a control unit executing control of movement of an autonomous moving body, including collision control, a setting unit setting a predetermined defense space around the autonomous moving body, for executing the collision control, and a classifying unit classifying an obstruction detected by a detecting unit installed in the autonomous moving body, and an obstruction detected by a detecting unit installed in a facility space through which the autonomous moving body moves. The setting unit changes a range of the defense space to a first range based on a result of the classifying unit classifying the obstruction detected by one of the detecting units, and changes the range of the defense space from the first range to a second range based on a result of the classifying unit classifying the obstruction detected by at least another of the detecting units.

Drone apparatus used in healthcare applications
12165544 · 2024-12-10 · ·

A system including a drone device comprising securable compartments, each of the securable compartments lockable and configured to be unlocked by a user or a remote device is provided. The system also includes a series of sensors provided with the drone device and configured to assess health attributes of the user while the drone is positioned proximate the user and a remote computing system configured to receive sensed information from the drone device and assess health of the user, wherein the remote computing system holographically displays health attributes of the user. The drone device travels to the user to provide or receive healthcare related objects to or from the user. The series of sensors comprise at least one audio sensor and at least one video sensor configured to assess user health attributes about the user's body in a contactless manner based on both audio and visual health attribute readings.

GRAPHICAL USER INTERFACES INCLUDING TOUCHPAD DRIVING INTERFACES FOR TELEMEDICINE DEVICES

The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

Method for operating a self-propelled mobile platform
09637123 · 2017-05-02 · ·

A method for operating a self-propelled mobile platform includes reducing a speed of the mobile platform as a function of a distance between the mobile platform and obstacles situated along a travel route of the mobile platform. The mobile platform includes at least one first sensor configured to detect obstacles in surroundings of the mobile platform.

DISINFECTION ROBOT, SYSTEM FOR DISINFECTION, AND METHOD OF DISINFECTION
20250090706 · 2025-03-20 ·

Disinfection robot for disinfecting a space by means of ultraviolet radiation, which includes a radiation source for emitting the ultraviolet radiation, movement means for moving the radiation source in the space, and sensor means for generating a sensor signal that is indicative for a position of the radiation source in the space. The robot includes a controller that is arranged for receiving the sensor signal and that is arranged for controlling the movement means for moving the radiation source along a path in the space. The controller is arranged for determining a cumulative exposure pattern of the emitted ultraviolet radiation in the space. The controller is arranged for determining a target position to extend the path based on the sensor signal and on the cumulative exposure pattern in the space. and for controlling the movement means for moving the radiation source towards the target position.

ROBOTIC AND AI-AUGMENTED IN SITU DETECTION AND DISINFECTION PLATFORM

An autonomous pathogen detection and disinfection mobile platform having a small footprint, such that embodiments of the platform are deployable within interior spaces such as hospital, clinics, and other healthcare facilities. The platform includes a detection chamber that efficiently identifies a presence of a pathogen, such as a microorganism. The platform also includes a disinfection discharge component, such as a discharge needle, that treats a surface that includes a presence of a pathogen. As an autonomous mobile device, the platform includes sensors, cameras, or similar devices to detect surrounding surfaces, such that a computing device disposed on the platform plots a dynamic path for the platform based on received feedback.

AUTOMATIC MULTI-MODALITY SENSOR CALIBRATION WITH NEAR-INFRARED IMAGES
20250117029 · 2025-04-10 ·

Systems and methods for automatic multi-modality sensor calibration with near-infrared images (NIR). Image keypoints from collected images and NIR keypoints from NIR can be detected. A deep-learning-based neural network that learns relation graphs between the image keypoints and the NIR keypoints can match the image keypoints and the NIR keypoints. Three dimensional (3D) points from 3D point cloud data can be filtered based on corresponding 3D points from the NIR keypoints (NIR-to-3D points) to obtain filtered NIR-to-3D points. An extrinsic calibration can be optimized based on a reprojection error computed from the filtered NIR-to-3D points to obtain an optimized extrinsic calibration for an autonomous entity control system. An entity can be controlled by employing the optimized extrinsic calibration for the autonomous entity control system.