Patents by Inventor Kay-Ulrich Scholl

Kay-Ulrich Scholl has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220118621
    Abstract: Disclosed herein are systems, devices, and methods for improving the safety of a robot. The safety system may determine a safety envelope of a robot based on a planned movement of the robot and based on state information about a load carried by a robot. The state information may include a dynamic status of the load. The safety system may also determine a safety risk based on a detected object with respect to the safety envelope. The safety system may also generate a mitigating action to the planned movement if the safety risk exceeds a threshold value.
    Type: Application
    Filed: December 24, 2021
    Publication date: April 21, 2022
    Inventors: Michael PAULITSCH, Florian GEISSLER, Ralf GRAEFE, Tze Ming HAU, Neslihan KOSE CIHANGIR, Ying Wei LIEW, Fabian Oboril, Yang PENG, Rafael ROSALES, Kay-Ulrich SCHOLL, Norbert STOEFFLER, Say Chuan TAN, Wei Seng YEAP, Chien Chern YEW
  • Publication number: 20220118611
    Abstract: Techniques are disclosed for the exploration of environments for the estimation and detection of hazards or near hazards within the environment and the mitigation of hazards therein. The exploration of the environment and mitigation of hazards therein may use one or more autonomous agents, including a hazard response robot. The estimation of the hazards may use a policy learning engine, and the hazards may be detected, and the associated risks therefrom, may be determined using a hazard estimation system.
    Type: Application
    Filed: December 23, 2021
    Publication date: April 21, 2022
    Inventors: Florian Geissler, Frederik Pasch, Cornelius Buerkle, Ralf Graefe, Fabian Oboril, Yang Peng, Kay-Ulrich Scholl
  • Patent number: 11308363
    Abstract: A training device may include one or more processors configured to generate, using a data augmentation model, augmented sensor data for sensor data, the sensor data provided by a plurality of sensors, wherein the augmented sensor data comprise error states of one or more sensors of the plurality of sensors providing the sensor data, and to train an object detection model based on the augmented sensor data.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: April 19, 2022
    Assignee: INTEL CORPORATION
    Inventors: Julio Jarquin Arroyo, Kay-Ulrich Scholl
  • Publication number: 20220111516
    Abstract: Systems and techniques for reliable real-time deployment of robot safety updates are described herein. Condition data may be collected for an environment in which a robot is operating. The robot may be classified with a condition type. Condition type data selected from the condition data may be analyzed based on the condition type to calculate a safety risk level for the robot. A microservice may be identified to provide a robot safety rule for the robot based on the safety risk level. The microservice may be identified using a safety prediction model generated from the condition type data.
    Type: Application
    Filed: December 20, 2021
    Publication date: April 14, 2022
    Inventors: Wei Seng Yeap, Chien Chern Yew, Ying Wei Liew, Say Chuan Tan, Tze Ming Hau, Frederik Pasch, Fabian Oboril, Kay-Ulrich Scholl, Cornelius Buerkle
  • Publication number: 20220113698
    Abstract: Various systems and methods for detecting risk conditions in a physical workspace. An apparatus can include an interface to receive smart sensor signals from at least one autonomous mobile entity (AME) in the physical workspace. The apparatus can also include processing circuitry coupled to the interface to detect a risk condition associated with the at least one AME, based on the smart sensor signals, relative to a user device associated with a human present in the physical workspace. The processing circuitry can also detect a direction of the risk condition relative to the user device and cause a notification to the first user device. The notification can indicate the direction of the risk condition relative to the user device. Other systems, methods and apparatuses are described.
    Type: Application
    Filed: December 20, 2021
    Publication date: April 14, 2022
    Inventors: Florian Mirus, Fabian Oboril, Frederik Pasch, Cornelius Buerkle, Kay-Ulrich Scholl, Ruchika Singh, Rita Chattopadhyay, Rony Ferzli, Thierry Beaumont
  • Publication number: 20220113699
    Abstract: A computing device, including: a memory configured to store computer-readable instructions; and processing circuitry configured to execute the computer-readable instructions to cause the computing device to: generate an environmental condition model (ECM) based on collected environmental attribute data of a physical environment; deploy the ECM to estimate environmental risk for an autonomous agent based on the environmental attribute data and a position of the autonomous agent within the physical environment; and transmit information related to the estimated environmental risk to the autonomous agent to adapt its operation to reduce operational risk.
    Type: Application
    Filed: December 22, 2021
    Publication date: April 14, 2022
    Inventors: Cornelius Buerkle, Bernd Gassmann, Florian Mirus, Fabian Oboril, Frederik Pasch, Kay-Ulrich Scholl
  • Patent number: 11304057
    Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide for controlled access of vehicle information by trusted authority systems. These systems may allow for police and other authority figures to utilize the onboard systems of the vehicle or obtain other information about the vehicle and occupants while safely in their own vehicles prior to an initial encounter with the vehicle and occupants.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: April 12, 2022
    Assignee: Intel Corporation
    Inventors: Kay-Ulrich Scholl, Fabio Cesari
  • Publication number: 20220105633
    Abstract: Disclosed herein are systems, devices, and methods for efficiently checking the integrity of a robot system. The integrity-checking system may generate a predefined motion instruction for a robot, where the predefined motion instruction instructs the robot to perform a random movement at a test time. The random movement may be associated with an expected observation at the test time. The integrity-checking system may also determine a systematic failure based on a difference between the expected observation and a current observation of the robot at the test time. The current observation may be determined from received sensor data, and if the integrity-checking system detects a failure, it may stop the robot's motion or other mitigating instructions.
    Type: Application
    Filed: December 17, 2021
    Publication date: April 7, 2022
    Inventors: Norbert STOEFFLER, Kay-Ulrich SCHOLL, Fabian OBORIL, Yang PENG
  • Publication number: 20220105636
    Abstract: Disclosed herein are systems, devices, and methods of a safety system for analyzing and improving the safety of environments that may be shared between robots and humans. The safety system may receive a safety envelope that includes a reachable set of locations at an expected position of an object at a prediction time. The receiver may also receive a perception prediction that may be based on the safety envelope and may include environmental information associated with the object at the expected position at the prediction time. The safety system may also include a processor that generates an instruction to move a robot according to a safe movement instruction based on whether a perception check exceeds a predetermined threshold, wherein the perception check may be based on a difference between the perception prediction and sensor information indicative of the environment of the object at the prediction time.
    Type: Application
    Filed: December 17, 2021
    Publication date: April 7, 2022
    Inventors: Fabian OBORIL, Cornelius BUERKLE, Bernd GASSMANN, Frederik PASCH, Kay-Ulrich SCHOLL
  • Publication number: 20220105629
    Abstract: Various aspects of techniques, systems, and use cases include robot safety. A device in a network may include processing circuitry and memory including instructions, which when executed by the processing circuitry, cause the processing circuitry to perform operations. The operations may include collecting telemetry data for a robot, the robot operating according to a path control plan generated using reinforcement learning with a safety factor as a reward function, and detecting that a safety event, involving a robot action, has occurred with the robot and an object. The operations may include simulating a recreation of the safety event to determine whether a simulated action matches the robot action.
    Type: Application
    Filed: December 16, 2021
    Publication date: April 7, 2022
    Inventors: Venkat Natarajan, Cornelius Buerkle, Kay-Ulrich Scholl, Frederik Pasch, Fabian Oboril
  • Publication number: 20220092987
    Abstract: Devices and methods for determining an action in the presence of road users are provided in this disclosure. A device may include a processor. The processor may be configured to access environment information including an indication of a size of road users intersecting with a predetermined route of a vehicle in a road environment. The processor may further be configured to prioritize an anticipated movement of at least one of the road users over a predicted movement of the vehicle within the predetermined route based on the size of road users. The processor may further be configured to determine a vehicle action allowing the anticipated movement of the at least one road user.
    Type: Application
    Filed: December 3, 2021
    Publication date: March 24, 2022
    Inventors: Fabian OBORIL, Frederik PASCH, Cornelius BUERKLE, Kay-Ulrich SCHOLL, Ignacio J. ALVAREZ
  • Publication number: 20220055620
    Abstract: Disclosed herein are systems, devices, and methods of a safety system for monitoring the in-vehicle safety of internal objects within a vehicle. The safety system generates a digital twin of the interior objects from vehicle configuration data indicating a configuration of an interior environment of the vehicle, from interior object data associated with the interior object within the interior environment of the vehicle, and from vehicle situation data that indicates an operating status of the vehicle. The digital twin is an abstract model of the interior objects within the interior environment of the vehicle, and the safety system generates, based on the digital twin, a safety score associated with an operating behavior of the vehicle. Based on the safety score, the safety system determines a target level for the operating behavior.
    Type: Application
    Filed: November 8, 2021
    Publication date: February 24, 2022
    Inventors: Bernd GASSMANN, Kay-Ulrich SCHOLL, Frederik PASCH, Cornelius BUERKLE, Fabian OBORIL
  • Publication number: 20220011856
    Abstract: A device including a processor configured to: receive sensor measurements; determine a viewer position based on the received sensor measurements; generate a control signal based on the viewer position; and determine a view based on the viewer position.
    Type: Application
    Filed: September 24, 2021
    Publication date: January 13, 2022
    Inventors: Norbert Stoeffller, Rafael Rosales, Kay-Ulrich Scholl
  • Publication number: 20210407687
    Abstract: A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.
    Type: Application
    Filed: September 10, 2021
    Publication date: December 30, 2021
    Inventors: Frederik PASCH, Bernd GASSMANN, Kay-Ulrich SCHOLL, Cornelius BUERKLE, Fabian OBORIL
  • Publication number: 20210279894
    Abstract: A mechanism is described for facilitating depth and motion estimation in machine learning environments, according to one embodiment. A method of embodiments, as described herein, includes receiving a frame associated with a scene captured by one or more cameras of a computing device; processing the frame using a deep recurrent neural network architecture, wherein processing includes simultaneously predicating values associated with multiple loss functions corresponding to the frame; and estimating depth and motion based the predicted values.
    Type: Application
    Filed: May 26, 2021
    Publication date: September 9, 2021
    Applicant: Intel Corporation
    Inventors: KOBA NATROSHVILI, KAY-ULRICH SCHOLL
  • Patent number: 11077756
    Abstract: Various aspects of this disclosure provide an area occupancy determining device. The device may include a memory configured to store at least one occupancy grid of a predetermined region, and a processor. The processor may be configured to generate the occupancy grid of the predetermined region. The occupancy grid includes a plurality of grid cells, each grid cell framed by respective grid cell frame lines. At least some of the grid cells have been assigned an information about the occupancy of the region represented by the respective grid cell. The processor may further be configured to dynamically update the occupancy grid, thereby successively generating a plurality of updated occupancy grids. Each updated occupancy grid is moved relative to the previous occupancy grid such that an origin coordinate of the updated occupancy grid is positioned on a contact point of grid cell frame lines of adjacent grid cells.
    Type: Grant
    Filed: November 23, 2017
    Date of Patent: August 3, 2021
    Assignee: Intel Corporation
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Patent number: 11040714
    Abstract: According to various examples, a vehicle controller is described comprising a determiner configured to determine information about surroundings of a vehicle, the information about the surroundings comprising information about velocities of objects in the surroundings of the vehicle and a velocity controller configured to input the information about the surroundings of the vehicle and a specification of a path of the vehicle to a convolutional neural network, to determine a target velocity of the vehicle along the path based on an output of the convolutional neural network and to control the vehicle according to the determined target velocity.
    Type: Grant
    Filed: January 11, 2019
    Date of Patent: June 22, 2021
    Assignee: INTEL CORPORATION
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Patent number: 11024041
    Abstract: A mechanism is described for facilitating depth and motion estimation in machine learning environments, according to one embodiment. A method of embodiments, as described herein, includes receiving a frame associated with a scene captured by one or more cameras of a computing device; processing the frame using a deep recurrent neural network architecture, wherein processing includes simultaneously predicating values associated with multiple loss functions corresponding to the frame; and estimating depth and motion based the predicted values.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: June 1, 2021
    Assignee: INTEL CORPORATION
    Inventors: Koba Natroshvili, Kay-Ulrich Scholl
  • Publication number: 20210114615
    Abstract: Disclosed are embodiments for coupling an autonomous vehicle with service equipment. The service equipment is configured to perform one or more services when coupled with the autonomous vehicle. In some embodiments, an environmental model generated by the autonomous vehicle is shared with a controller of the service equipment, which fuses sensor data collected from an on-board sensor and the environmental model from the autonomous vehicle to generate an integrated environmental model. The controller of the service equipment then performs the service based on the integrated environmental model.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 22, 2021
    Inventors: Cornelius Buerkle, Kay-Ulrich Scholl, Fabian Oboril, Frederik Pasch
  • Publication number: 20210107519
    Abstract: Disclosed embodiments provide a mobility as a service (MaaS) platform that orchestrates a variety of services that require a variety of different vehicle configurations. To ensure a cost effective vehicle fleet, the disclosed MaaS platform dynamically reconfigures vehicles as needed to perform services that are in demand. To accomplish this, some embodiments provide an API that allows third party service providers to register with the MaaS platform. The registration indicates capabilities of the third party service providers, and service center locations. The API also allows the MaaS platform to obtain status information on the third party service providers to, for example, determine wait times of the third party service providers to assist with scheduling vehicles for conversion.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Bernd Gassmann, Cornelius Buerkle, Kay-Ulrich Scholl, Fabian Oboril