Patents Assigned to Carnegie Mellon University
  • Publication number: 20200177109
    Abstract: An electrostatic clutch is described comprising a plurality of micron-scale thickness electrodes, adjacent electrodes being separated by a thin film of dielectric material. A power source and controller apply a voltage across two electrodes, causing an electrostatic force to develop. When engaged, a force can be transferred through the clutch. A tensioning device maintains the alignment of the clutch when the electrodes are disengaged, but permits movement in at least one direction. In some embodiments, multiple clutches are connected to an output to provide variable force control and a broad range of torque input and output values. Moreover, the clutch can be used as an energy-recycling actuator that captures mechanical energy from negative work movements, and returns energy during positive work movements.
    Type: Application
    Filed: December 27, 2019
    Publication date: June 4, 2020
    Applicant: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Profit Corporation
    Inventors: Carmel Majidi, Steven Collins, Stuart Diller
  • Publication number: 20200170790
    Abstract: Artificial heart valve structures and methods of their fabrication are disclosed. The heart valve structures may be fabricated from a biocompatible polymer and include one or more heart valve leaflet structures incorporated within a conduit. The valve structures may incorporate one or more conduit sinuses, as well as a gap between the lower margin of the valve leaflets and the interior of the conduit. In addition, the valve structures may include one or more valve sinuses created in a space between the valve leaflets and the conduit inner surface. Computational fluid dynamics and mechanical modeling may be used to design the valve leaflets with optimal characteristics. A heart valve structure may also incorporate a biodegradable component to which cells may adhere The incorporated cells may arise from patient cells migrating to the biodegradable component, or the component may be pre-seeded with cells prior to implantation in a patient.
    Type: Application
    Filed: February 7, 2020
    Publication date: June 4, 2020
    Applicants: CARNEGIE MELLON UNIVERSITY, UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: Masahiro YOSHIDA, C. Douglas BERNSTEIN, Onur DUR, Kerem PEKKAN
  • Patent number: 10666677
    Abstract: An exemplary system method, and computer-accessible medium for initiating a protocol(s) can be provided, which can include, for example, generating a digitally encrypted perishable object(s), distributing the digitally encrypted perishable object(s) to a cyber-physical entity(s), determining if the cyber-physical entity(s) has received the digitally encrypted perishable object(s), and initiating at a predetermined protocol(s) based on the determination.
    Type: Grant
    Filed: September 23, 2015
    Date of Patent: May 26, 2020
    Assignees: New York University, Carnegie Mellon University
    Inventors: Will Casey, Bhubaneswar Mishra
  • Patent number: 10657385
    Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.
    Type: Grant
    Filed: March 25, 2016
    Date of Patent: May 19, 2020
    Assignees: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Pro fit Corporation, UNIVERSITY OF ROCHESTER
    Inventors: Gierad Laput, Christopher Harrison, Jeffrey P. Bigham, Walter S. Lasecki, Bo Robert Xiao, Jason Wiese
  • Patent number: 10656722
    Abstract: This document describes a system for animating a two-dimensional object in real-time with gestural data collected by a gestural sensor of the system. A gestural sensor collects gestural data. An image extraction engine extracts image data that renders a two-dimensional object on a display device of the system. An overlay engine generates a mesh overlay for the two-dimensional object. Based on a detected gesture represented in the gestural data collected, an animation engine modifies portions of the two-dimensional object from a first image frame to a second image frame based on the collected gestural data. An image frame generator generates the first and second image frames that animate the two-dimensional object in accordance with the gestural data collected.
    Type: Grant
    Filed: November 9, 2016
    Date of Patent: May 19, 2020
    Assignee: Carnegie Mellon University
    Inventor: Ali Momeni
  • Publication number: 20200151290
    Abstract: The present invention concerns a method for encoding a given 3D shape into a target 2D linkage. The method comprises: (a) providing an initial 2D surface; and (b) defining on the initial 2D surface an auxetic pattern of geometric elements planarly linked between them to obtain the target 2D linkage, the pattern allowing the target 2D linkage to be virtually stretched. The target 2D linkage has a spatially varying scale factor thereby spatially varying the stretching capability of the 2D linkage.
    Type: Application
    Filed: November 12, 2018
    Publication date: May 14, 2020
    Applicants: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL), CARNEGIE MELLON UNIVERSITY
    Inventors: Mina KONAKOVIC-LUKOVIC, Keenan CRANE, Mark PAULY, Julian PANETTA
  • Patent number: 10650873
    Abstract: A memory array that comprises three dimensionally stacked two-dimensional memory arrays. The memory array includes a first layer and a second layer oriented orthogonal to the first layer. The memory array further includes a magnetic tunnel junction adjacent to each of the first layer and the second layer. The magnetic tunnel junction further includes a first magnetic layer adjacent to the second layer. Additionally, the magnetic tunnel junction includes a second magnetic layer adjacent to the first layer. The magnetic tunnel junction also includes a tunnel layer adjacent to the first magnetic layer and the second magnetic layer.
    Type: Grant
    Filed: June 18, 2018
    Date of Patent: May 12, 2020
    Assignee: Carnegie Mellon University
    Inventors: Jian-Gang Zhu, Chia-Ling Chien, Qinli Ma
  • Publication number: 20200139973
    Abstract: Systems and methods are provided that employ spatial and temporal attention-based deep reinforcement learning of hierarchical lane-change policies for controlling an autonomous vehicle. An actor-critic network architecture includes an actor network that process image data received from an environment to learn the lane-change policies as a set of hierarchical actions, and a critic network that evaluates the lane-change policies to calculate loss and gradients to predict an action-value function (Q) that is used to drive learning and update parameters of the lane-change policies. The actor-critic network architecture implements a spatial attention module to select relevant regions in the image data that are of importance, and a temporal attention module to learn temporal attention weights to be applied to past frames of image data to indicate relative importance in deciding which lane-change policy to select.
    Type: Application
    Filed: November 1, 2018
    Publication date: May 7, 2020
    Applicants: GM GLOBAL TECHNOLOGY OPERATIONS LLC, CARNEGIE MELLON UNIVERSITY
    Inventors: Praveen Palanisamy, Upali P. Mudalige, Yilun Chen, John M. Dolan, Katharina Muelling
  • Publication number: 20200142421
    Abstract: Systems and methods are provided for end-to-end learning of commands for controlling an autonomous vehicle. A pre-processor pre-processes image data acquired by sensors at a current time step (CTS) to generate pre-processed image data that is concatenated with additional input(s) (e.g., a segmentation map and/or optical flow map) to generate a dynamic scene output. A convolutional neural network (CNN) processes the dynamic scene output to generate a feature map that includes extracted spatial features that are concatenated with vehicle kinematics to generate a spatial context feature vector. An LSTM network processes, during the (CTS), the spatial context feature vector at the (CTS) and one or more previous LSTM outputs at corresponding previous time steps to generate an encoded temporal context vector at the (CTS). The fully connected layer processes the encoded temporal context vector to learn control command(s) (e.g., steering angle, acceleration rate and/or a brake rate control commands).
    Type: Application
    Filed: November 5, 2018
    Publication date: May 7, 2020
    Applicants: GM GLOBAL TECHNOLOGY OPERATIONS LLC, CARNEGIE MELLON UNIVERSITY
    Inventors: Praveen Palanisamy, Upali P. Mudalige, Yilun Chen, John M. Dolan, Katharina Muelling
  • Patent number: 10645803
    Abstract: Disclosed herein is an efficient fabrication approach to create highly customizable wearable electronics through rapid laser machining and adhesion-controlled soft materials assembly. Well-aligned, multi-layered materials can be created from 2D and 3D elements that stretch and bend while seamlessly integrating with rigid components such as microchip integrated circuits (IC), discrete electrical components, and interconnects. These techniques are applied using commercially available materials. These materials and methods enable custom wearable electronics while offering versatility in design and functionality for a variety of bio-monitoring applications.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: May 5, 2020
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Carmel Majidi, Michael D. Bartlett, Eric J. Markvicka
  • Patent number: 10642419
    Abstract: The disclosed subject matter is a palm rejection technique utilizing temporal features, iterative classification, and probabilistic voting. Touch events are classified based on features periodically extracted from time windows of increasing size, always centered at the birth of the event. The classification process uses a series of decision trees acting on said features.
    Type: Grant
    Filed: July 23, 2018
    Date of Patent: May 5, 2020
    Assignee: Carnegie Mellon University
    Inventors: Julia Schwarz, Chris Harrison
  • Patent number: 10642407
    Abstract: An apparatus classifies touch events. The apparatus includes a touch sensitive surface configured to generate a touch event when an object touches the touch sensitive surface. The touch event entails a mechanical vibration upon contact with the surface. The apparatus includes a touch event detector configured to detect the onset of a touch, and a touch event classifier configured to classify the touch event to identify the object used for the touch event. The mechanical vibration is created via any one of finger parts including a tip, a pad, a fingernail, and a knuckle, each of which has a unique feature different from each other.
    Type: Grant
    Filed: December 8, 2017
    Date of Patent: May 5, 2020
    Assignee: Carnegie Mellon University
    Inventors: Christopher Harrison, Julia Schwarz, Scott E. Hudson
  • Patent number: 10624737
    Abstract: Artificial heart valve structures and methods of their fabrication are disclosed. The heart valve structures may be fabricated from a biocompatible polymer and include one or more heart valve leaflet structures incorporated within a conduit. The valve structures may incorporate one or more conduit sinuses, as well as a gap between the lower margin of the valve leaflets and the interior of the conduit. In addition, the valve structures may include one or more valve sinuses created in a space between the valve leaflets and the conduit inner surface. Computational fluid dynamics and mechanical modeling may be used to design the valve leaflets with optimal characteristics. A heart valve structure may also incorporate a biodegradable component to which cells may adhere The incorporated cells may arise from patient cells migrating to the biodegradable component, or the component may be pre-seeded with cells prior to implantation in a patient.
    Type: Grant
    Filed: January 24, 2017
    Date of Patent: April 21, 2020
    Assignees: CARNEGIE MELLON UNIVERSITY, UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: Masahiro Yoshida, C. Douglas Bernstein, Onur Dur, Kerem Pekkan
  • Publication number: 20200110081
    Abstract: The present invention provides microfluidic pScreen™ devices for quantifying the concentration of DNA fragments in a liquid sample by using magnetic-responsive silica micro-beads and nonmagnetic-responsive silica micro-beads. The devices of the present invention allow for rapid, simple and inexpensive quantification of DNA fragment concentration in a sample. The devices do not require complex instrumentation and can be performed in less than three minutes. Moreover, they are compatible with complex samples including, without limitation, unpurified PCR amplification products, and thus can be expected to seamlessly integrate into various common molecular biology techniques and workflows.
    Type: Application
    Filed: December 2, 2019
    Publication date: April 9, 2020
    Applicant: Carnegie Mellon University
    Inventors: Alberto Gandini, James F. Antaki, Byron Wang Chuan, Joie N. Marhefka, Juha-Pekka Mattila, Eliseo Salas
  • Patent number: 10614299
    Abstract: This invention introduces an indoor person identification system that utilizes the capture and analysis of footstep induced structural vibrations. The system senses floor vibration and detects the signal induced by footsteps. Then the system then extracts features from the signal that represent characteristics of each person's unique gait pattern. With these extracted features, the system conducts hierarchical classification at an individual step level and at a collection of consecutive steps level, achieving high degree of accuracy in the identification of individuals.
    Type: Grant
    Filed: February 9, 2016
    Date of Patent: April 7, 2020
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Pei Zhang, Hae Young Noh, Shijia Pan, Ningning Wang, Amelie Bonde, Mostafa Mirshekari
  • Patent number: 10608632
    Abstract: An infrared (IR)-based gesture sensing and detection system that includes at least one IR sensor for sensing micro gestures of one or more heat-radiating bodies made within a gesture-sensing region located proximate to the IR sensor. Each unique micro gesture may be used as a control gesture for controlling one or more controllable devices. Non-limiting examples of controllable devices include smart wearable device, handheld computing devices, and smart appliances, among many others. In some embodiments, each IR sensor is a passive IR sensor based on a pyroelectric material, and the IR-based gesture sensing and detection system is configured to consume minimal power to operate.
    Type: Grant
    Filed: October 17, 2018
    Date of Patent: March 31, 2020
    Assignees: Trustees of Dartmouth College, Carnegie Mellon University
    Inventors: Xing-Dong Yang, Jun Gong, Yang Zhang, Xia Zhou
  • Patent number: 10608614
    Abstract: A bi-state bifurcation-based control system and method for nonlinear resonators, which utilizes a control loop to servo on the edge of the bifurcation jump, either at the maximum “on” point prior to the Duffing bifurcation jump or along the rising edge of the parametric bifurcation.
    Type: Grant
    Filed: February 20, 2015
    Date of Patent: March 31, 2020
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Gary K. Fedder, Congzhong Guo
  • Patent number: 10588746
    Abstract: An expandable valved conduit for pediatric right ventricular outflow tract (RVOT) reconstruction is disclosed. The valved conduit may provide long-term patency and resistance to thrombosis and stenosis. The valved conduit may enlarge radially and/or longitudinally to accommodate the growing anatomy of the patient. Further, a method is disclosed for the manufacture of the valved conduit based in part on a plastically deformable biocompatible polymer and a computer-optimized valve design developed for such an expandable valved conduit.
    Type: Grant
    Filed: March 7, 2014
    Date of Patent: March 17, 2020
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: C. Douglas Bernstein, Arush Kalra
  • Patent number: 10568613
    Abstract: A device for performing a procedure may include an elongate tube having a proximal end and a distal end and an adapted link having a proximal end and a distal end. The distal end may include a first mating surface, where the proximal end may be configured to attach to the distal end of the elongate tube. The device may also include a rotating link having a second mating surface configured to rotatably interface with the adapted link first mating surface.
    Type: Grant
    Filed: June 7, 2016
    Date of Patent: February 25, 2020
    Assignee: Carnegie Mellon University
    Inventors: Brett Zubiate, Howard Choset, Amir Degani, Anthony Kolb, Kevin P. GilMartin, J. Christopher Flaherty
  • Patent number: 10562643
    Abstract: A computer system determines contingency landing sites for an aircraft, piloted or autonomous. The computer system decomposes data from various types of maps into multiple separate risk maps, which can include: one for the risk to people being present on the ground at the landing site; one for the risk of damage to property on the ground at the landing site; one for the risk of damage to the aircraft; and/or one for the risk to people on-board the aircraft. From these maps, the computer system generates a contingency landing site map that the aircraft can use to determine an appropriate landing site in the case of an emergency. The computer system can also perform landing simulations to determine the various risks.
    Type: Grant
    Filed: March 16, 2018
    Date of Patent: February 18, 2020
    Assignees: NEAR EARTH AUTONOMY, INC., CARNEGIE MELLON UNIVERSITY
    Inventors: Kyle Strabala, Sebastian Scherer, Vaibhav Arcot