Abstract: Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal for stimulating and/or sensing activity of media proximal to the devices. The media can include tissue and/or fluid. A method of controlling an apparatus in communication with a brain machine interface. The method can include measuring a first neural activity in a first neural area and measuring a second neural activity in a second neural area. The first neural activity can be associated with a first intent. The method can include creating and delivering, via the processor, one or more first control signals to the apparatus upon comparing the second neural activity with the first neural activity, and confirming, based on this comparison, that the second neural activity is associated with the first intent.

Abstract: Embodiments of this disclosure provide a mobile robot for assembling a battery, an operation system, a control method, and a control system. The mobile robot includes a mobile platform, an inspection apparatus, a plurality of end effectors, and a robotic hand. The mobile platform is capable of receiving an assembly instruction to implement movement between different positions. The inspection apparatus is disposed on the mobile platform, configured to obtain a position signal and an assembly recipe signal. The plurality of end effectors are placed on the mobile platform. The robotic hand is disposed on the mobile platform, capable of connecting to a target end effector to perform a corresponding assembly action on the battery. The target end effector is determined from the plurality of end effectors based on the assembly instruction, and the assembly action is determined based on the position signal and the assembly recipe signal.

Abstract: This disclosure sets forth a robotic end effector for acquiring and managing an article, such as an item of luggage. The robotic end effector can include an extendable arm comprising a first support member, a capture device comprising a guide member having a plurality of apertures formed therein with a rod slideably supported in each aperture of the guide member. The capture device can further include a biasing member associated with one or more rods and being configured to bias the one or more rods in a first direction relative to the guide member. The article interface system can include an actuatable article engagement device. The actuatable article engagement device can itself include an article interface surface. The actuatable article engagement device can be operated to interface with an article to facilitate movement of the article toward the capture device.

Abstract: This cell production system is provided with: a robot that assists cell production; and a plurality of closed system cell production devices which are affected by the robot in a one-to-many manner, wherein the closed system cell production devices are each provided with a double-sided structure of a dangerous region side affected by the robot and a safe region side on the reverse side of the dangerous region side.

Abstract: Techniques are disclosed for training and applying machine learning models to control robotic assembly. In some embodiments, force and torque measurements are input into a machine learning model that includes a memory layer that introduces recurrency. The machine learning model is trained, via reinforcement learning in a robot-agnostic environment, to generate actions for achieving an assembly task given the force and torque measurements. During training, experiences are collected as transitions within episodes, the transitions are grouped into sequences, and the last two sequences of each episode have a variable overlap. The collected transitions are stored in a prioritized sequence replay buffer, from which a learner samples sequences to learn from based on transition and sequence priorities. Once trained, the machine learning model can be deployed to control various types of robots to perform the assembly task based on force and torque measurements acquired by sensors of those robots.

Abstract: Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Abstract: In a moving robot and a control method according to the present disclosure, an obstacle is detected using structured light irradiated in a predetermined type of light pattern in a traveling direction while traveling, and a specified operation is performed in response to the obstacle. Moreover, a dangerous obstacle is recognized by extracting changes over time using a plurality of images for an obstacle or a low obstacle that is difficult to determine as detected data, and thus, it is possible to improve accuracy according to the determination of the obstacle, improve a corresponding operation according to the obstacle, minimize the uncleaned area while preventing restraint due to the obstacle, and improve the cleaning performance.

Abstract: A robot or a cleaning robot is provided. The robot includes a housing forming an external appearance of the robot, a cover configured to be coupled at a lowermost part of the housing, and at least one or more sensor structures positioned between the housing and the cover. The sensor structure includes a conductive plate and a sensor electrode on the conductive plate.

Abstract: Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Abstract: A walking control method for a biped robot includes: detecting whether the biped robot is in an unbalanced state; in response to detection that the biped robot is in the unbalanced state, obtaining a predicted balance step length corresponding to the biped robot in the unbalanced state; performing a smooth transition processing on the predicted balance step length according to a current movement step length of the biped robot to obtain a desired balance step length corresponding to the predicted balance step length; determining a planned leg trajectory of the biped robot according to the desired balance step length; and controlling a current swing leg of the biped robot to move according to the planned leg trajectory.

Abstract: A device and method for aligning a robot coordinate system, being a coordinate system of a robot for moving an operating point three-dimensionally, and a measuring instrument coordinate system, being a coordinate system of a three-dimensional measuring instrument which is capable of executing a light sectioning method and of which a position and attitude with respect to the operating point are unchanging, characterized by including the steps of: determining a relationship between the coordinate systems; radiating sheet-like slit light from the three-dimensional measuring instrument onto a reference object in the shape of a rectangular cuboid which is fixed; finding the attitude of the three-dimensional measuring instrument relative to the reference object; and moving the three-dimensional measuring instrument such that the attitude of the three-dimensional measuring instrument falls within a predetermined standard attitude range.

Abstract: A robotic camera system comprising: a robot head (45), for carrying and orienting a camera (48), a video capture unit (30), operatively arranged to capture video and/audio recording from the camera and storing in a frame buffer area (260), a processor unit (40), having access to the frame buffer area (260) and operatively arranged for generating a reference camera trajectory (130) based on directives from a director, optimizing (140) said camera trajectory based on a real-time projection of objects of interest in the video recording in the frame buffer area (260), driving the robot head (45) to follow the optimized trajectory.

Abstract: A system for object detection of a manufactured part. The system comprises a system controller electronically coupled to an image acquisition device and delivery mechanism. An electronically stored ordered object detection map is provided which comprises predetermined detectable objects associated with the manufactured part. The ordered object detection map is generated from output created by execution of a trained object detection model and by processing such output according to predetermined calibration criteria. The system causing a visual image of the manufactured part to be captured with image data being extracted and processed to render at least one of a pass determination and a fail determination. The system being configured to process the manufactured based upon the rendered pass/fail determination.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for calibrating a robotic workcell. One of the methods includes obtaining an initial model of a workcell having a plurality of calibration entities including a plurality of robots and a plurality of sensors configured to observe movements by one or more calibration entities. executing a calibration program that generates movement data representing movements by the plurality of robots. A plurality of different constraint pairs are generated from sensor data, the constraint pairs specifying a relationship between poses of calibration entities that are observed in different coordinate frames each defined by a calibration entity and is represented in the sensor data. One or more optimization processes are performed on the plurality of different constraint pairs to generate a plurality of calibration values.

Abstract: A system may include sensors, provided on a vehicle, to sense one or more operational states of the vehicle and output the sensed operational states. A system may include a cloud computing platform to receive the sensed operational states, a modeling application, provided at the cloud computing platform, having a processor to execute software to generate and operate a digital twin of the vehicle, the digital twin encompassing twin subsystems of the vehicle and simulating operations thereof; and an artificial intelligence system, associated with the cloud computing platform, to receive and process the sensed operational states and updates an operational parameter of the drive train of the vehicle based on the modeling application.

Abstract: Orthopedic implants, systems, instruments, and methods. A bi-portal lumbar interbody fusion system may include an expandable interbody implant and minimally invasive pedicle-based intradiscal fixation implants. The interbody and intradiscal implants may be installed with intelligent instrumentation capable of repeatably providing precision placement of the implants. The bi-portal system may be robotically-enabled to guide the instruments and implants along desired access trajectories to the surgical area.

Abstract: An automation network comprises at least one primary subscriber, at least one switch, and at least one network subscriber. The primary subscriber comprises primary ports, the switch comprises switching ports, and the subscriber comprises subscriber ports, each comprising a transmitter and a receiver. The primary subscriber is configured to output first and second telegrams to first and second switching ports via first and second primary ports and first and second primary communication paths. The switch is configured to forward the first telegram to a first port of a network subscriber via a first subscriber communication path, and to forward the second telegram to a second port of a network subscriber via a second subscriber communication path. In an error mode, the switch and network subscriber are configured to return the first and/or second telegrams to the primary subscriber via the first and/or second primary port.

Abstract: Disclosed are embodiments for facilitating autonomous vehicle simulated mileage data collection-guided operational design domain testing and test generation. In some aspects, an embodiment includes receiving performance results corresponding to simulated mileage accumulation of simulated autonomous vehicles (AVs); determining, from the performance results, performance metrics and corresponding confidence intervals for the performance metrics; identifying at least one of the performance metrics that does not satisfy a performance metric threshold or at least one of the corresponding confidence intervals that does not satisfy a confidence interval threshold; determining an identified domain corresponding to the at least one of the performance metrics or the at least one of the corresponding confidence intervals; and causing at least one of on-road supervised driving of one or more AVs to be initiated or one or more synthetic tests to be generated in accordance with the identified domain.

Abstract: A method for determining an optimized sequence of movements of a robot device for moving a first object in such a way that the first object is brought into a target position independently of an uncertainty of a position of the first object in relation to a second object and/or independently of an uncertainty of a position of the robot device is provided. The method includes: simulating movement portions of the robot device taking account of the uncertainty of the position of the first object and/or the uncertainty of the position of the robot device; and determining the optimized sequence of movements of the robot device taking account of the simulated movement portions and boundary conditions which specify at least one starting position and the target position of the first object. An optimized sequence of movements is determined, by which the robot device can guide the first object reliably into its target position.

Abstract: A fingernail and toenail trimmer is presented herein. The trimmer includes a stable, traction-providing base disposed on the bottom of a housing defining an interior portion. A nail cutting device with at least one blade is disposed at least partially within the housing and accessible through an opening in the housing. A high-torque drive mechanism drivingly engages the cutting device to effectively cut any fingernail or toenail. At least one camera, sensor and artificial intelligence module provides assistance with the accurate operation of the trimmer. The camera captures the environment surrounding the blades and transmits the images captured therefrom to the user device and artificial intelligence module for processing.