Patents by Inventor Timothy L. Hutcheson
Timothy L. Hutcheson 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).
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Patent number: 11356780Abstract: A planar coil linear actuator/transducer. A stack of individually driven planar coils are used. A common core passes through the center of the stack of coils. A mobile magnet resides in the core. The coils are selectively energized in order to drive the magnet as desired. It is possible to control both frequency and amplitude by controlling the motion of the magnet. In a preferred embodiment, each planar coil is created as a copper (or other conductive material) trace on a multi-layer printed circuit board.Type: GrantFiled: September 24, 2020Date of Patent: June 7, 2022Assignee: Florida Institute for Human & Machine Cognition, Inc.Inventors: Anil K. Raj, Timothy L. Hutcheson
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Publication number: 20210099806Abstract: A planar coil linear actuator/transducer. A stack of individually driven planar coils are used. A common core passes through the center of the stack of coils. A mobile magnet resides in the core. The coils are selectively energized in order to drive the magnet as desired. It is possible to control both frequency and amplitude by controlling the motion of the magnet. In a preferred embodiment, each planar coil is created as a copper (or other conductive material) trace on a multi-layer printed circuit board.Type: ApplicationFiled: September 24, 2020Publication date: April 1, 2021Inventors: Anil K. Raj, Timothy L. Hutcheson
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Patent number: 8880223Abstract: A multisensory interface for a tele-robotic surgical control system. The invention allows the surgeon to use natural gestures and motions to control the actions of end effectors in the robotic surgical apparatus. Multiple feedback mechanisms are provided to allow the physician a more intuitive understanding of what is being controlled, along with a greater situational awareness. Prior art robotic end effectors are inserted into the patient through a small incision—as is already known in the art. The invention presents an improved method of controlling these effectors.Type: GrantFiled: July 16, 2012Date of Patent: November 4, 2014Assignee: Florida Institute for Human & Maching CognitionInventors: Anil K. Raj, Adrien M. Moucheboeuf, Roger W. Carif, Timothy L. Hutcheson
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Publication number: 20140018819Abstract: A multisensory interface for a tele-robotic surgical control system. The invention allows the surgeon to use natural gestures and motions to control the actions of end effectors in the robotic surgical apparatus. Multiple feedback mechanisms are provided to allow the physician a more intuitive understanding of what is being controlled, along with a greater situational awareness. Prior art robotic end effectors are inserted into the patient through a small incision—as is already known in the art. The invention presents an improved method of controlling these effectors.Type: ApplicationFiled: July 16, 2012Publication date: January 16, 2014Inventors: Anil K Raj, Adrien M. Mouchebouef, Roger W. Carif, Timothy L. Hutcheson
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Patent number: 8316972Abstract: An apparatus and a method for robotic control that allows an unbalanced pendulum robot to raise its Center of Mass and balance on two motorized wheels. The robot includes a pair of arms that are connected to the upper body of the robot through motorized joints. The method consists of a series of movements employing the arms of the robot to raise the robot to the upright position. The method comprises a control loop in which the motorized drives are included for dynamic balance of the robot and the control of the arm apparatus. The robot is first configured as a low Center of Mass four-wheeled vehicle, then its Center of Mass is raised using a combination of its wheels and the joint located at the attachment point of the arm apparatus and the robot body, between the rear and front wheels; the method then applies accelerations to the rear wheels to dynamically pivot and further raise the Center of Mass up and over the main drive wheels bringing the robot into a balancing pendulum configuration.Type: GrantFiled: August 5, 2010Date of Patent: November 27, 2012Assignee: Florida Institute for Human and Machine CognitionInventors: Timothy L. Hutcheson, Jerry E. Pratt
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Publication number: 20120016520Abstract: An apparatus and a method for robotic control that allows an unbalanced pendulum robot to raise its Center of Mass and balance on two motorized wheels. The robot includes a pair of arms that are connected to the upper body of the robot through motorized joints. The method consists of a series of movements employing the arms of the robot to raise the robot to the upright position. The method comprises a control loop in which the motorized drives are included for dynamic balance of the robot and the control of the arm apparatus. The robot is first configured as a low Center of Mass four-wheeled vehicle, then its Center of Mass is raised using a combination of its wheels and the joint located at the attachment point of the arm apparatus and the robot body, between the rear and front wheels; the method then applies accelerations to the rear wheels to dynamically pivot and further raise the Center of Mass up and over the main drive wheels bringing the robot into a balancing pendulum configuration.Type: ApplicationFiled: August 5, 2010Publication date: January 19, 2012Inventors: Timothy L. Hutcheson, Jerry E. Pratt
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Publication number: 20110190935Abstract: An apparatus and a method for robotic control that allows an unbalanced pendulum robot to raise its Center of Mass and balance on two motorized wheels. The robot includes a pair of arms that are connected to the upper body of the robot through motorized joints. The method consists of a series of movements employing the arms of the robot to raise the robot to the upright position. The method comprises a control loop in which the motorized drives are included for dynamic balance of the robot and the control of the arm apparatus. The robot is first configured as a low Center of Mass four-wheeled vehicle, then its Center of Mass is raised using a combination of its wheels and the joint located at the attachment point of the arm apparatus and the robot body, between the rear and front wheels; the method then applies accelerations to the rear wheels to dynamically pivot and further raise the Center of Mass up and over the main drive wheels bringing the robot into a balancing pendulum configuration.Type: ApplicationFiled: August 5, 2010Publication date: August 4, 2011Inventors: Timothy L. Hutcheson, Jerry E. Pratt
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Patent number: 7798264Abstract: An apparatus and a method for robotic control that allows an unbalanced pendulum robot to raise its Center of Mass and balance on two motorized wheels. The robot includes a pair of arms that are connected to the upper body of the robot through motorized joints. The method consists of a series of movements employing the arms of the robot to raise the robot to the upright position. The method comprises a control loop in which the motorized drives are included for dynamic balance of the robot and the control of the arm apparatus. The robot is first configured as a low Center of Mass four-wheeled vehicle, then its Center of Mass is raised using a combination of its wheels and the joint located at the attachment point of the arm apparatus and the robot body, between the rear and front wheels; the method then applies accelerations to the rear wheels to dynamically pivot and further raise the Center of Mass up and over the main drive wheels bringing the robot into a balancing pendulum configuration.Type: GrantFiled: November 2, 2006Date of Patent: September 21, 2010Inventors: Timothy L. Hutcheson, Jerry E. Pratt
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Publication number: 20080105481Abstract: An apparatus and a method for robotic control that allows an unbalanced pendulum robot to raise its Center of Mass and balance on two motorized wheels. The robot includes a pair of arms that are connected to the upper body of the robot through motorized joints. The method consists of a series of movements employing the arms of the robot to raise the robot to the upright position. The method comprises a control loop in which the motorized drives are included for dynamic balance of the robot and the control of the arm apparatus. The robot is first configured as a low Center of Mass four-wheeled vehicle, then its Center of Mass is raised using a combination of its wheels and the joint located at the attachment point of the arm apparatus and the robot body, between the rear and front wheels; the method then applies accelerations to the rear wheels to dynamically pivot and further raise the Center of Mass up and over the main drive wheels bringing the robot into a balancing pendulum configuration.Type: ApplicationFiled: November 2, 2006Publication date: May 8, 2008Inventors: Timothy L. Hutcheson, Jerry E. Pratt
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Patent number: 5502306Abstract: There is disclosed numerous embodiments of a method and apparatus for a particle scanning system and an automatic inspection system. In each of these a particle beam is directed at the surface of a substrate for scanning that substrate. Also included are a selection of detectors to detect at least one of the secondary particles, back-scattered particles and transmitted particles from the substrate. The substrate is mounted on an x-y stage to provide it with at least one degree of freedom while the substrate is being scanned by the/particle beam. The substrate is also subjected to an electric field on it's surface to accelerate the secondary particles. The system also has the capability to accurately measure the position of the substrate with respect to the charged particle beam. Additionally, there is an optical alignment means for initially aligning the substrate beneath the,particle beam means.Type: GrantFiled: March 17, 1994Date of Patent: March 26, 1996Assignee: KLA Instruments CorporationInventors: Dan Meisburger, Alan D. Brodie, Curt Chadwick, Anil Desai, Hans Dohse, Dennis Emge, John Greene, Ralph Johnson, Ming-Yie Ling, John McMurtry, Barry Becker, Ray Paul, Mike Robinson, Richard Simmons, David E. A. Smith, John Taylor, Lee Veneklasen, Dean Walters, Paul Wieczorek, Sam Wong, April Dutta, Surendra Lele, Kirkwood Rough, Henry Pearce-Percy, Jack Y. Jau, Chun C. Lin, Hoi T. Nguyen, Yen-Jen Oyang, Timothy L. Hutcheson, David J. Clark, Chung-Shih Pan, Chetana Bhaskar, Chris Kirk, Eric Munro
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Patent number: 5465308Abstract: A method and apparatus under software control for pattern recognition utilizes a neural network implementation to recognize two dimensional input images which are sufficiently similar to a database of previously stored two dimensional images. Images are first image processed and subjected to a Fourier transform which yields a power spectrum. An in-class to out-of-class study is performed on a typical collection of images in order to determine the most discriminatory regions of the Fourier transform. A feature vector consisting of the highest order (most discriminatory) magnitude information from the power spectrum of the Fourier transform of the image is formed. Feature vectors are input to a neural network having preferably two hidden layers, input dimensionality of the number of elements in the feature vector and output dimensionality of the number of data elements stored in the database. Unique identifier numbers are preferably stored along with the feature vector.Type: GrantFiled: August 25, 1993Date of Patent: November 7, 1995Assignee: Datron/Transoc, Inc.Inventors: Timothy L. Hutcheson, Wilson Or, Venkatesh Narayanan, Subramaniam Mohan, Peter G. Wohlmut, Ramanujam Srinivasan, Bobby R. Hunt, Thomas W. Ryan
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Patent number: 5274714Abstract: A pattern recognition method and apparatus utilizes a neural network to recognize input images which are sufficiently similar to a database of previously stored images. Images are first processed and subjected to a Fourier transform which yields a power spectrum. An in-class to out-of-class study is performed on a typical collection of images in order to determine the most discriminatory regions of the Fourier transform. A feature vector consisting of the (most discriminatory) information from the power spectrum of the Fourier transform of the image is formed. Feature vectors are input to a neural network having preferably two hidden layers, input dimensionality of the number of elements in the feature vector and output dimensionality of the number of data elements stored in the database. Unique identifier numbers are preferably stored along with the feature vector. Application of a query feature vector to the neural network results in an output vector.Type: GrantFiled: July 23, 1992Date of Patent: December 28, 1993Assignee: Neuristics, Inc.Inventors: Timothy L. Hutcheson, Wilson Or, Venkatesh Narayanan, Subramaniam Mohan, Peter G. Wohlmut, Ramanujam Srinivasan, Bobby R. Hunt, Thomas W. Ryan
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Patent number: 5161204Abstract: A method and apparatus under software control for pattern recognition utilizes a neural network implementation to recognize two dimensional input images which are sufficiently similar to a database of previously stored two dimensional images. Images are first image processed and subjected to a Fourier transform which yields a power spectrum. An in-class to out-of-class study is performed on a typical collection of images in order to determine the most discriminatory regions of the Fourier transform. A feature vector consisting of the highest order (most discriminatory) magnitude information from the power spectrum of the Fourier transform of the image is formed. Feature vectors are input to a neural network having preferably two hidden layers, input dimensionality of the number of elements in the feature vector and output dimensionality of the number of data elements stored in the database. Unique identifier numbers are preferably stored along with the feature vector.Type: GrantFiled: June 4, 1990Date of Patent: November 3, 1992Assignee: Neuristics, Inc.Inventors: Timothy L. Hutcheson, Wilson Or, Venkatesh Narayanan, Subramaniam Mohan, Peter G. Wohlmut, Ramanujam Srinivasan, Bobby R. Hunt, Thomas W. Ryan