Abstract: Methods and systems are described herein for determining three-dimensional locations of objects within identified portions of images. An image processing system may receive an image and an identification of location within an image. The image may be input into a machine learning model to detect one or more objects within the identified location. Multiple images may then be used to generate location estimations of those objects. Based on the location estimations, an accurate three-dimensional location may be calculated.

Abstract: An autonomous vehicle can include a horn; a sensor(s) configured to capture images; and one or more processors. The one or more processors can be configured to receive a sequence of images from the sensor(s), the sequence of images captured by the sensor(s) as the autonomous vehicle was moving; execute a machine learning model using the sequence of images as input to detect a human inside a second vehicle or in the surrounding environment of the autonomous vehicle depicted within the sequence of images; determine, based on the detection of the human inside the second vehicle or in the surrounding environment of the autonomous vehicle within the sequence of images, the human is depicted performing a defined arm gesture within the sequence of images; and activate the horn responsive to the determination that the human is depicted performing the defined arm gesture within the sequence of images.

Abstract: System for use in directing a sorting operation comprises a server, a receptacle logical destination identification (ID) assignment engine, a plurality of receptacles, and an automated transport device for transporting and depositing articles into the receptacles. The system is configured to: assign a first logical destination ID to a first receptacle; and direct an automated transport device to transport and deposit a first article into the first receptacle associated with the first logical destination ID. The system is further configured to: determine that the first receptacle is full; re-assign the first logical destination ID to a second receptacle; and re-direct the automated transport device to transport and deposit the first article into the second receptacle associated with the first logical destination ID.

Abstract: Methods and systems are described herein for determining three-dimensional locations of objects within identified portions of images. An image processing system may receive an image and an identification of location within an image. The image may be input into a machine learning model to detect one or more objects within the identified location. Multiple images may then be used to generate location estimations of those objects. Based on the location estimations, an accurate three-dimensional location may be calculated.

Abstract: System is configured to receive article information corresponding to articles to be transported by computer-controlled vehicles, the articles comprising a first article and a second article, each having a maximum article dimension. System is also configured to assign travel routes about a grid comprising grid cells for the vehicles to travel thereon. The travel route of a first vehicle carrying the first article includes a turning maneuver at a first grid cell. System is configured to control the turning maneuver of the first vehicle in the first grid cell such that there is no contact between the first article carried on the first vehicle with a second article carried on a second vehicle present in a second grid cell that is adjacent to the first grid cell when the first vehicle is undertaking the turning maneuver.

Abstract: Inspection robots with a payload engagement device are described. An example inspection robot may have a housing, a drive module, having at least one wheel and a motor, where the drive module is operatively coupled to the housing. The example inspection robot may also have a payload coupled to the drive module, where the payload includes a sensor mounted to the payload, and a payload engagement device operationally coupled to the drive module and the payload, where the payload engagement device applies a selected downward force on the payload.

Abstract: A seating system includes a seat, with structures for supporting a user thereon, and actuators. Each actuator includes a deformable shell with an enclosed internal cavity containing a fluid dielectric contained, a pair of electrodes disposed on opposing sides of the deformable shell. The actuators are integrated into the structures and configured for providing at least one function, such as haptic feedback, seat adjustment, alert notification, vibratory signal, user input receiving, and massage function. A portion of the plurality of actuators may be enclosed within an encapsulating shell to form an encapsulated sheet of actuators. Each actuator may be a part of a button-on-demand system, wherein the actuator is normally in a collapsed position such that a user-facing surface of the encapsulating shell is substantially flat and, when activated by a user, the actuator is configured to expand such that the encapsulating shell is raised to form a button.

Abstract: System for guiding an instrument within a vascular network of a patient are disclosed. In some embodiments, the system receives a medical image from a medical imaging device and identifies a distal tip and a direction the instrument in the image. The system may then determine a waypoint for the distal tip of the instrument based at least in part on the position and direction of the distal tip of the instrument. The system may then generate a trajectory command for moving the instrument through the vascular network from the current position to the waypoint. The system may operate in a closed loop. The system may provide the trajectory command to a robotic medical system configured to move the instrument according to the command.

Abstract: An autonomous vehicle comprises a sensor and one or more processors. The processors can be configured to monitor, using the sensor, a surface of a road while the autonomous vehicle is driving on the road; detect a numerical identification of a tracking tag embedded underneath a surface of the road based on data collected from the sensor during the monitoring of the surface; query a database using the numerical identification of the tracking tag, the database comprising navigational information corresponding to different numerical identifications of tracking tags; identify first navigational information from the database that corresponds to the detected numerical identification of the tracking tag embedded underneath the surface of the road; determine a navigational action based on the first navigational information; and operate the autonomous vehicle according to the navigational action.

Abstract: Systems and methods of automatic correction of map data for autonomous vehicle navigation are disclosed. One or more processors of an autonomous vehicle can determine a surrogate trajectory for navigating the autonomous vehicle towards a target trajectory; generate a curvature target for the autonomous vehicle based on the surrogate trajectory, a lateral error, and a velocity of the autonomous vehicle, the curvature target defined in part by at least three points; and navigate the autonomous vehicle according to the curvature target.

Abstract: A machine vision-based method and system for locating an object within a scene are provided. The method includes uniformly illuminating a target surface of the object within the scene with light having an intensity within a relatively narrow range of wavelengths such that the light overwhelms the intensity of ambient light within the narrow range to obtain reflected, backscattered illumination. The method also includes sensing brightness of the surface due to a diffuse component of the backscattered illumination to obtain brightness information. Backscattered illumination from the target surface is inspected to obtain geometric information. Rotationally and positionally invariant surface albedo of the object is computed based on the brightness and geometric information. The surface albedo and the geometric information may then be used by a matching algorithm.

Abstract: A method of providing information around road based events through autonomous vehicles. The method describes how a system can maintain or upload information around a digital map indicating locations of events detected. The system can react to updated events to affect route planning, biasing and lane selection. The system can transmit updated map information to various road users including other autonomous vehicles.

Abstract: An autonomous vehicle comprises a sensor, a plurality of paint dispensers, and one or more processors. The processors can be configured to collect, using the sensor, data regarding an environment surrounding the autonomous vehicle as the autonomous vehicle is moving on a surface; detect an event in the environment surrounding the autonomous vehicle from the collected data; determine an event type of the event based on the collected data; select a paint dispenser from the plurality of paint dispensers based on the determined event type; and automatically dispense paint from the selected paint dispenser onto the surface.

Abstract: An autonomous vehicle comprises a sensor and one or more processors. The one or more processors can be configured to receive a set of object location data from the sensor, the set of object location data indicating an object; generate a measured representation of the object based on the set of object location data; execute a tracking protocol using data of the measured representation of the object as input to generate a virtual representation of the object, the virtual representation of the object comprising a virtual point that is nearest to a defined location of the autonomous vehicle; and translate the virtual point of the virtual representation of the object to a measured point of the measured representation of the object.

Abstract: Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

Abstract: The foodstuff assembly system can include: a robot arm, a frame, a set of foodstuff bins, a sensor suite, a set of food utensils, and a computing system. The system can optionally include: a container management system, a human machine interface (HMI). However, the foodstuff assembly system 100 can additionally or alternatively include any other suitable set of components. The system functions to enable picking of foodstuff from a set of foodstuff bins and placement into a container (such as a bowl, tray, or other foodstuff receptacle). Additionally or alternatively, the system can function to facilitate transferal of bulk material (e.g., bulk foodstuff) into containers, such as containers moving along a conveyor line.

Abstract: Multi-function sorting system for use in a sorting operation includes a server, a sortation engine, and first and second function sorting systems. First function sorting system for sorting articles includes first function vehicles traversing a first function platform for transporting and depositing first function articles into first sort receptacles. Second function sorting system for sorting articles includes second function vehicles traversing a second function platform spaced apart from the first function platform for transporting and depositing second function articles into second sort receptacles. The second function platform is arranged above the first function platform in a vertical stacked configuration.

Abstract: A robotic catheter procedure system includes a bedside system that has a percutaneous device, and an actuating mechanism configured to engage and to impart movement to the percutaneous device. The system also includes a workstation coupled to the bedside system. The workstation includes a user interface configured to receive a user input, ma display device configured to display an image, a control system operatively coupled to the user interface and the actuating mechanism. The control system is configured to generate a control signal and the actuating mechanism causes movement of the percutaneous device in response to the control signal. The control system is configured to slow movement of the percutaneous device via the actuating mechanism as an identified point on the percutaneous device approaches a structure requiring a change in direction of the percutaneous device.

Abstract: Chamber bank for use in a sorting operation includes chambers for receiving a receptacle therein. Each chamber is defined by a floor, a left wall, a right wall, and a rear wall that together define a receiving space for a receptacle. At least one of the left and right wall is taller than the corresponding abutting side wall of the receptacle received therein. A system assigns a first number of articles occupying a first volume to the receptacle such that the first number of articles overfills the receptacle when all of the first number of articles are deposited thereinto.

Abstract: An end effector for a minimally invasive medical device can include a base configured to attach to a distal end of a shaft, and a disposable distal portion configured to removably attach to the base to be disposed of after use.