























|
Publications
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Cited by - see Google Scholar
Peer-reviewed journal articles
- Sparse Associative Memory
- Heiko Hoffmann
- Neural Computation, Vol. 31(5), pp. 998-1014, 2019
- Available online at The MIT Press
- [pdf, 584KB]
- Impact of network topology on self-organized criticality
- Heiko Hoffmann
- Physical Review E, Vol. 97, 022313, 2018
- [pdf, 719KB]
- Optimization by self-organized criticality
- Heiko Hoffmann and David W Payton
- Scientific Reports, Vol. 8, Article no. 2358, 2018
- Available online at nature.com
- Suppressing cascades in a self-organized-critical model with non-contiguous spread of failures
- Heiko Hoffmann and David W Payton
- Chaos, Solitons & Fractals, Vol. 67, pp. 87-93, 2014
- Available online at ScienceDirect
- [pdf, 644KB]
- Adaptive robotic tool use under variable grasps
- Heiko Hoffmann, Zhichao Chen, Darren Earl, Derek Mitchell, Behnam Salemi, and Jivko Sinapov
- Robotics and Autonomous Systems, Vol. 62, Issue 6, pp. 833-846, 2014
- Available online at ScienceDirect
- [pdf, 2.4MB]
- Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
- Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, and Stefan Schaal
- Neural Computation, Vol. 25, No. 2, pp. 328-373, 2013
- Cited by 1200+ (most cited article in Neural Computation since 2010)
- Target switching in curved human arm movements is predicted by changing a single control parameter
- Heiko Hoffmann
- Experimental Brain Research, Vol. 208, Issue 1, pp. 73-87, 2011
- Available online at springerlink.com
- [pdf, 636KB]
- Grasping to Extrafoveal Targets: A Robotic Model
- Wolfram Schenck, Heiko Hoffmann, and Ralf Möller
- New Ideas in Psychology, Vol. 29, pp. 235-259, 2011
- Available online at ScienceDirect
- [pdf, 984KB]
- Computational models for neuromuscular function
- Francisco Valero-Cuevas, Heiko Hoffmann, Manish Kurse, Jason Kutch, and Evangelos Theodorou (all authors contributed equally)
- IEEE Reviews in Biomedical Engineering, Vol. 2, pp. 110-135, 2009
- [pdf, 1.6M]
- Local dimensionality reduction for non-parametric regression
- Heiko Hoffmann, Stefan Schaal, and Sethu Vijayakumar
- Neural Processing Letters, Vol. 29, pp. 109-131, 2009
- The original article is available online at Springerlink.com
- [pdf, 556KB]
- Perception through Visuomotor Anticipation in a Mobile Robot
- Heiko Hoffmann
- Neural Networks, Vol. 20, pp. 22-33, 2007
- Available online at ScienceDirect
- [pdf, 1564KB]
- Kernel PCA for Novelty Detection
- Heiko Hoffmann
- Pattern Recognition, Vol. 40, pp. 863-874, 2007
- Available online at ScienceDirect
- [pdf, 748KB]
- Cited by 700+
- Learning visuomotor transformations for gaze-control and grasping
- Heiko Hoffmann, Wolfram Schenck, Ralf Möller
- Biological Cybernetics, Vol. 93, pp. 119-130, 2005
- Available online at springerlink.com
- [pdf, 620KB]
- Studies of crack dynamics in clay soil. I. Experimental methods, results and morphological quantification
- Hans-Jörg Vogel, Heiko Hoffmann, Kurt Roth
- Geoderma, Vol. 125, pp. 203-211, 2005
- [pdf, 576KB]
- Studies of crack dynamics in clay soil. II. A physically based model for crack formation
- Hans-Jörg Vogel, Heiko Hoffmann, Andreas Leopold, Kurt Roth
- Geoderma, Vol. 125, pp. 213-223, 2005
- [pdf, 596KB]
- An extension of Neural Gas to local PCA
- Ralf Möller, Heiko Hoffmann
- Neurocomputing, Vol. 62, pp. 305-326, 2004
- [pdf, 1194KB]
- Cross-correlation studies with seismic noise
- Heiko Hoffmann, John Winterflood, Yong-Jing Cheng, David G. Blair
- Classical and Quantum Gravity, Vol. 19, pp. 1709-1716, 2002
- [pdf, 152KB]
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Peer-reviewed full-length conference articles
- Few-Shot Image Classification Along Sparse Graphs
- Joseph F. Comer, Philip L. Jacobson, and Heiko Hoffmann
- CVPR Workshop on Learning with Limited Labelled Data
for Image and Video Understanding, 2022
- Pooling by Sliced-Wasserstein Embedding
- Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, and Soheil Kolouri
- Conference on Neural Information Processing Systems (NeurIPS), 2021
- Wasserstein Embedding for Graph Learning
- Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, and Heiko Hoffmann
- International Conference on Learning Representations (ICLR), 2021
- Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
- Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, and Heiko Hoffmann
- Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (oral presentation)
- Explainability Methods for Graph Convolutional Neural Networks
- Phillip Pope, Soheil Kolouri, Mohammad Rostami, Charles E Martin, and Heiko Hoffmann
- Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (oral presentation, acceptance rate for orals: 5%)
- [pdf, 2.2M]
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models
- Soheil Kolouri, Gustavo K. Rohde, and Heiko Hoffmann
- Conference on Computer Vision and Pattern Recognition (CVPR), 2018
- [pdf, 4.1M]
- Explaining Distributed Neural Activations via Unsupervised Learning
- Soheil Kolouri, Charles E Martin, and Heiko Hoffmann
- Conference on Computer Vision and Pattern Recognition, Explainable Computer Vision Workshop, 2017 (oral presentation)
- [pdf, 1.6M]
- Fast Re-learning of a Controller from Sparse Data
- Charles E Martin and Heiko Hoffmann
- IEEE International Conference on Systems, Man, and Cybernetics, 2014 (oral presentation)
- [pdf, 308K]
- Fast pattern matching with time-delay neural networks
- Heiko Hoffmann, Michael Howard, and Michael Daily
- International Joint Conference on Neural Networks, 2011 (oral presentation)
- [pdf, 1.3M]
- Toward Ultra High Speed Locomotors: Design and Test of a Cheetah Robot Hindlimb
- M. Anthony Lewis, Matthew R Bunting, Behnam Salemi, and Heiko Hoffmann
- IEEE International Conference on Robotics and Automation, 2011 (oral presentation)
- [pdf, 1.5M]
- Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance
- Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, and Stefan Schaal
- IEEE International Conference on Robotics and Automation, 2009 (oral presentation)
- [pdf, 692K]
- Learning and Generalization of Motor Skills by Learning from Demonstration
- Peter Pastor, Heiko Hoffmann, Tamim Asfour, and Stefan Schaal
- IEEE International Conference on Robotics and Automation, 2009 (oral presentation)
- [pdf, 1548K]
- Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields
- Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, and Stefan Schaal
- IEEE International Conference on Humanoid Robots, 2008 (oral presentation)
- [pdf, 672K]
- Sensor-assisted adaptive motor control under continuously varying context
- Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, and Sethu Vijayakumar
- Proc. International Conference on Informatics in Control, Automation, and Robotics
- presented at ICINCO, 2007 (oral presentation)
- [pdf, 1096KB]
- Action Selection and Mental Transformation Based on a Chain of Forward Models
- Heiko Hoffmann, Ralf Möller
- S. Schaal, A. Ijspeert, A. Billard, S. Vijayakumar, J. Hallam, and J.-A. Meyer (Eds.)
- Proceedings of the 8th Conference on Simulation of Adaptive Behavior (SAB '04), pp. 213-222, MIT Press, 2004 (oral presentation)
- [pdf, 612KB]
- Learning internal models for eye-hand coordination in reaching and grasping
- Wolfram Schenck, Heiko Hoffmann, Ralf Möller
- F. Schmalhofer, R. M. Young, G. Katz (Eds.)
- Proc. EuroCogSci, pp. 289-294, Lawrence Erlbaum Associates: Mahwah, New Jersey, 2003 (oral presentation)
- [pdf, 872KB]
- Unsupervised Learning of a Kinematic Arm Model
- Heiko Hoffmann, Ralf Möller
- O. Kaynak, E. Alpaydin, E. Oja, L. Xu (Eds.)
- Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003 (oral presentation)
- LNCS 2714, pp. 463-470, Springer, Heidelberg
- [pdf, 158KB]
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Peer-reviewed short conference articles
- Interactive Audio-Tactile Annotation of 3D Point Clouds for Robotic Manipulation
- Jivko Sinapov, Darren Earl, Derek Mitchell, and Heiko Hoffmann
- ICRA Mobile Manipulation Workshop on Interactive Perception, 2013
- [pdf, 370KB]
- Simple finger movements require complex coordination of excursions and forces across all muscles
- Jason Kutch, Manish Kurse, Heiko Hoffmann, Evangelos Theodorou, Rod Hentz, Caroline Leclercq, Isabella Fassola, and Francisco Valero-Cuevas
- Annual Meeting for the American Society of Biomechanics, State College, Pennsylvania, August 26-29, 2009
- Optimization strategies in human reinforcement learning
- Heiko Hoffmann, Evangelos Theodorou, and Stefan Schaal
- Advances in Computational Motor Control VII, Symposium at the Society for Neuroscience Meeting, Washington DC, 2008
- [pdf, 104KB]
- Dynamic movement primitives for movement generation motivated by convergent force fields in frog
- Heiko Hoffmann, Peter Pastor, and Stefan Schaal
- Adaptive Motion of Animals and Machines (AMAM), Cleveland, Ohio, 2008
- [pdf, 212KB]
- Movement generation by learning from demonstration and generalization to new targets
- Peter Pastor, Heiko Hoffmann, and Stefan Schaal
- Adaptive Motion of Animals and Machines (AMAM), Cleveland, Ohio, 2008
- [pdf, 204KB]
- Combining dynamic movement primitives and potential fields for online obstacle avoidance
- Dae-Hyung Park, Heiko Hoffmann, and Stefan Schaal
- Adaptive Motion of Animals and Machines (AMAM), Cleveland, Ohio, 2008
- [pdf, 240KB]
- Human movement generation based on convergent flow fields: A computational model and a behavioral experiment
- Heiko Hoffmann and Stefan Schaal
- Advances in Computational Motor Control VI, Symposium at the Society for Neuroscience Meeting, San Diego, 2007
- [pdf, 104KB]
- Modellierung der Rissdynamik in tonigen Böden
- Andreas Leopold, Heiko Hoffmann, Hans-Jörg Vogel, Kurt Roth
- Mitt. Dtsch. Bodenkundl. Ges., Vol. 102, pp. 109-110, 2003
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Abstracts
- Are reaching movements planned in kinematic or dynamic coordinates?
- Alice Ellmer, Heiko Hoffmann, and Stefan Schaal
- Neural Control of Movement, Naples, Florida, 2010
- [html] [poster]
- Error-feedback control through a forward model predicts preferential control of task-relevant parameters as observed in human finger muscle activation
- Heiko Hoffmann, Evangelos Theodorou, and Francisco Valero-Cuevas
- Society for Neuroscience, Chicago, Il, 2009
- Muscle synergies may be artifacts of biomechanics rather than neural constraints, and are not necessary to simplify control
- Jason Kutch, Manish Kurse, Heiko Hoffmann, Art Kuo, and Francisco Valero-Cuevas
- Society for Neuroscience, Chicago, Il, 2009
- Control of muscle strain energy as a robust means to produce slow and accurate finger movements: Proof of concept via hardware and cadaver implementation
- Heiko Hoffmann, Jason Kutch, Manish Kurse, and Francisco Valero-Cuevas
- Neural Control of Movement, Waikoloa, Hawaii, 2009
- [html] [poster]
- Human optimization strategies under reward feedback
- Heiko Hoffmann, Evangelos Theodorou, and Stefan Schaal
- Neural Control of Movement, Waikoloa, Hawaii, 2009
- [html] [poster]
- Do humans plan continuous trajectories in kinematic coordinates?
- Heiko Hoffmann and Stefan Schaal
- Society for Neuroscience, Washington, D.C., 2008
- [html] [poster]
- Behavioral experiments on reinforcement learning in human motor control
- Heiko Hoffmann, Evangelos Theodorou, and Stefan Schaal
- Neural Control of Movement, Naples, Florida, 2008
- [html]
- The dual role of uncertainty in force field learning
- Michael Mistry, Evangelos Theodorou, Heiko Hoffmann, and Stefan Schaal
- Neural Control of Movement, Naples, Florida, 2008
- [html]
- A computational model of human trajectory planning based on convergent flow fields
- Heiko Hoffmann and Stefan Schaal
- Society for Neuroscience, San Diego, California, 2007
- [html]
- A computational model of arm trajectory modification using dynamic movement primitives
- Peyman Mohajerian, Heiko Hoffmann, Michael Mistry, and Stefan Schaal
- Society for Neuroscience, San Diego, California, 2007
- Uncertain 3D force fields in reaching movements: Do humans favor robust or average performance?
- Michael Mistry, Evangelos Theodorou, Heiko Hoffmann, and Stefan Schaal
- Society for Neuroscience, San Diego, California, 2007
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Invited articles
- SAR automatic target recognition with less labels
- Joseph F. Comer, Reed W. Andrews, Navid Naderializadeh, Soheil Kolouri, and Heiko Hoffmann
- Proc. SPIE 11394, Automatic Target Recognition XXX, 113940Q, 24 April 2020
- Rapid 3D registration using local subtree caching in Iterative Closest Point (ICP) algorithm
- Ryan Uhlenbrock, Kyungnam Kim, Heiko Hoffmann, and Jean J. Dolne
- SPIE Optics and Photonics, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing, 2017
- Classification and segmentation of orbital space-based objects against terrestrial distractors for the purpose of finding holes in Shape from Motion 3D reconstruction
- T. Nathan Mundhenk, Arturo Flores, and Heiko Hoffmann
- SPIE Electronic Imaging, 2014
- [pdf, 8.9M]
- Biologically-inspired image processing for machine grasping
- Heiko Hoffmann
- The Neuromorphic Engineer, Vol. 2, Issue 2, 2005, p. 7
- [html]
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Letters
- Failure-based resource allocation is insufficient to prevent future catastrophic blackouts
- Heiko Hoffmann and David W. Payton
- Science, eLetter in response to Small vulnerable sets determine large network cascades in power grids, Vol. 358, Issue 6365, eaan3184, 2017.
- Feb 1, 2018
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Books
- Unsupervised Learning of Visuomotor Associations
- Heiko Hoffmann
- MPI Series in Biological Cybernetics, Vol. 11, 2005, Logos Verlag Berlin
- ISBN 3-8325-0858-9
- PhD thesis, Faculty of Technology, Bielefeld University
- [pdf, 7800KB] [html]
Peer-reviewed journal articles | Peer-reviewed conference articles | Peer-reviewed short conference articles | Abstracts | Invited articles | Letters | Books | Patents
Patents (granted)
- System and method for health assessment on smartphones
- Vincent DeSapio, Jaehoon Choe, Iman Mohammadrezazadeh, Kang-Yu Ni, Heiko Hoffmann, Charles E Martin, and Yuri Owechko
- US patent 11317870, May 3, 2022
- Learning actions with few labels in the embedded space
- Amir Rahimi, Hyukseong Kwon, Soheil Kolouri, and Heiko Hoffmann
- US patent 11288498, Mar 29, 2022
- Action classification using deep embedded clustering
- Amir Rahimi, Hyukseong Kwon, and Heiko Hoffmann
- US patent 11232296, Jan 25, 2022
- System and method for audio classification based on unsupervised attribute learning
- Charles E Martin, Soheil Kolouri, and Heiko Hoffmann
- US patent 11194330, Dec 7, 2021
- Method and system for alignment of wire contact with wire contact insertion holes of a connector
- Heiko Hoffmann
- US patent 11171459, Nov 9, 2021
- Method and system for machine vision detection
- Heiko Hoffmann
- US patent 11151405, Oct 19, 2021
- System and method for estimating uncertainty of the decisions made by a supervised machine learner
- Soheil Kolouri and Heiko Hoffmann
- US patent 11086299, Aug 10, 2021
- Machine-vision method to classify input data based on object components
- Soheil Kolouri, Charles E Martin, Heiko Hoffmann
- US patent 11023789, Jun 1, 2021
- Process to control a networked system of time varying devices
- Byron Heersink, Michael A Warren, and Heiko Hoffmann
- US patent 10926776, Feb 23, 2021
- System for co-adaptation of robot control to human biomechanics
- Vincent DeSapio and Heiko Hoffmann
- US patent 10899017, Jan 26, 2021
- Method and System for Detecting Change of Context in Video Streams
- Charles E Martin, Nigel D Stepp, Soheil Kolouri, and Heiko Hoffmann
- US patent 10878276, Dec 29, 2020
- Three-dimensional point data alignment with pre-alignment
- Kyungnam Kim and Heiko Hoffmann
- US patent 10825259, Nov 3, 2020
- Method for understanding machine-learning decisions based on camera data
- Charles E Martin, Soheil Kolouri, and Heiko Hoffmann
- US patent 10803356, Oct 13, 2020
- Machine-vision system for discriminant localization of objects
- Soheil Kolouri, Charles E Martin, and Heiko Hoffmann
- US patent 10691972, Jun 23, 2020
- Process to reduce the probability of large cascading failures in a transmission network
- Heiko Hoffmann and Tsai-Ching Lu
- US patent 10691154, Jun 23, 2020
- System and method for detecting moving obstacles based on sensory prediction from ego-motion
- Ken Kim, Hyukseong Kwon, Heiko Hoffmann
- US patent 10679355, Jun 9, 2020
- Machine vision system for recognizing novel objects
- Soheil Kolouri, Charles E Martin, Ken Kim, and Heiko Hoffmann
- US patent 10607111, Mar 31, 2020
- System and method for self-organized critical image segmentation
- Heiko Hoffmann and David W. Payton
- US patent 10580142, Mar 3, 2020
- Autonomous performance of an operation on an object using a generated dense 3D model of the object
- Hyukseong Kwon, Kyungnam Kim, and Heiko Hoffmann
- US patent 10574967, Feb 25, 2020
- System and method for classifying agents based on agent movement patterns
- Terrell N. Mundhenk and Heiko Hoffmann
- US patent 10514694, Dec 24, 2019
- Device and method to decode volitional motor commands using a biomechanical model for controlling a prosthetic limb
- Vincent DeSapio, Darren Earl, and Heiko Hoffmann
- US patent 10507121, Dec 17, 2019
- Method and apparatus to determine optimal brain stimulation to induce desired behavior
- Praveen K Pilly, Michael D Howard, Heiko Hoffmann, Tsai-Ching Lu, Kang-Yu Ni, and David W Payton
- US patent 10420937, Sep 24, 2019
- Robust recognition on degraded imagery by exploiting known image transformation under motion
- Heiko Hoffmann and Ken Kim
- US patent 10332265, Jun 25, 2019
- Method and system for identifying wire contact insertion holes of a connector
- Heiko Hoffmann
- US patent 10288410, May 14, 2019
- Device and method to detect attacks on mobile ad hoc networks based on network flux
- Heiko Hoffmann and Gavin D. Holland
- US patent 10187404, Jan 22, 2019
- Device and method to automatically tune the nerve stimulation pattern of a sensory feedback capable prosthesis
- Heiko Hoffmann, Jaehoon Choe, and Corey Thibeault
- US patent 10166394, Jan 1, 2019
- Method to suppress cascading failures in a transmission network
- Heiko Hoffmann and David W. Payton
- US patent 10139844, Nov 28, 2018
- Neural network device with engineered delays for pattern storage and matching (divisional)
- Heiko Hoffmann
- US patent 10095976, Oct 9, 2018
- System and method for assistive gait intervention and fall prevention
- Vincent DeSapio, Michael D. Howard, Matthew E. Phillips, Kevin R. Martin, Heiko Hoffmann, and David W. Payton
- US patent 10052062, Aug 21, 2018
- Adaptive control system capable of recovering from unexpected situations
- Heiko Hoffmann and David W. Payton
- US patent 10001760, Jun 19, 2018
- System and method for robot supervisory control with an augmented reality user interface
- Heiko Hoffmann and Michael J. Daily
- US patent 9880553, Jan 30, 2018
- Device and method for merging 3D point clouds from sparsely distributed viewpoints
- Darren J. Earl, Ryan M. Uhlenbrock, and Heiko Hoffmann
- US patent 9858640, Jan 2, 2018
- Method for tele-robotic operations over time-delayed communication links
- Heiko Hoffmann, David W Payton, and Vincent DeSapio
- US patent 9776325, Oct 3, 2017
- System and method for controller adaptation
- Charles E. Martin and Heiko Hoffmann
- US patent 9747543, Aug 29, 2017
- Method for calibrating an articulated end effector employing a remote digital camera
- Ryan M. Uhlenbrock and Heiko Hoffmann
- US patent 9616569, Apr 11, 2017
- Robotic control device and method for manipulating a hand-held tool
- Heiko Hoffmann and Behnam Salemi
- US patent 9613180, Apr 4, 2017
- Self-stabilizing system for multiple interacting controllers
- Heiko Hoffmann and David W Payton
- US patent 9557722, Jan 31, 2017
- Method for classification and segmentation and forming 3D models from images
- Terrell N. Mundhenk, Arturo Flores, and Heiko Hoffmann
- US patent 9530218, Dec 27, 2016
- System and method for quick scripting of tasks for autonomous robotic manipulation
- Darren Earl, Derek Mitchell, and Heiko Hoffmann
- US patent 9486918, Nov 8, 2016
- Dynamic obstacle avoidance in a robotic system
- Derek Mitchell and Heiko Hoffmann
- US patent 9403275, Aug 2, 2016
- Dynamical system-based robot velocity control
- Heiko Hoffmann, David W. Payton, and Derek Mitchell
- US patent 9381643, Jul 5, 2016
- A system for controlling motion and constraint forces in a robotic system without the need for force sensing
- Vincent DeSapio and Heiko Hoffmann
- US patent 9364951, Jun 14, 2016
- System and method for deep packet inspection and intrusion detection
- Heiko Hoffmann, Michael J Daily, Gavin D Holland, Karim El Defrawy
- US patent 9336239, May 10, 2016
- Neural network device with engineered delays for pattern storage and matching (divisional)
- Heiko Hoffmann
- US patent 9311595, Apr 12, 2016
- Device and method to localize and control a tool tip with a robot arm
- Zhichao Chen and Heiko Hoffmann
- US patent 9259840, Feb 16, 2016
- System and Method for Fast Template Matching in 3D
- Heiko Hoffmann, Hooman Kazemi, and Michael J Daily
- US patent 9171247, Oct 27, 2015
- Device and method to identify functional parts of tools for robotic manipulation
- Jivko Sinapov and Heiko Hoffmann
- US patent 9144905, Sep 29, 2015
- Secure Pattern Matching
- Karim El Defrawy, Kirill Minkovich, Joshua W. Baron, Eric P. Tressler, and Heiko Hoffmann
- US patent 9009089, Apr 14, 2015
- Robotic visual perception system
- Suhas E Chelian, Rashmi N Sundareswara, and Heiko Hoffmann
- US patent 9002098, Apr 7, 2015
- Neural network device with engineered delays for pattern storage and matching
- Heiko Hoffmann
- US patent 8818923, Aug 26, 2014
Patent Applications
- Method, system, and computer program product for wire connector assembly
- Heiko Hoffmann, Jeffrey A. McCaskey, Lars E. Blacken, Damien O. Martin, and Bradley J Mitchell
- US patent pending, filed 2022
- Method and system for machine determining wire contact insertion
- Michael Cui, Heiko Hoffmann, and Bradley J Mitchell
- US patent pending, filed 2022
- System and method for automatic target recognition from SAR images with less labels
- Joseph Comer, Navid Naderializadeh, Reed Andrews, Soheil Kolouri, and Heiko Hoffmann
- US patent pending, filed 2021
- Process to make machine object detection robust to adversarial attacks
- Soheil Kolouri, David W. Payton, and Heiko Hoffmann
- US patent pending, filed 2021
- Image-based guidance for robotic wire pickup
- Heiko Hoffmann, Jeffrey A. McCaskey, Lars E. Blacken, Damien O. Martin, and Bradley J. Mitchell
- US patent pending, filed 2021
- Process to learn new image classes without labels
- Heiko Hoffmann and Soheil Kolouri
- US patent pending, filed 2020
- Method and system for error correction in automated wire contact insertion within a connector
- Heiko Hoffmann
- US patent pending, filed 2020
- System and method for detecting backdoor/Trojan attacks in convolutional neural networks
- Soheil Kolouri and Heiko Hoffmann
- US patent pending, filed 2020
- Method and system for alignment and insertion of wire contact with wire contact insertion holes of a connector
- Alexander Graber-Tilton, Richard Patrick, and Heiko Hoffmann
- US patent pending, filed 2019
- Sparse Associative Memory for Identification of Objects
- Heiko Hoffmann
- US patent pending, filed 2019
- System and method for classifying agents based on their movement patterns (divisional)
- Terrell N. Mundhenk and Heiko Hoffmann
- US patent pending, filed 2019
- Method for discovering chemically active compounds of a molecule
- Soheil Kolouri, Mohammad Rostami, Charles E Martin, and Heiko Hoffmann
- US patent pending, filed 2019
- Self-organized-critical pattern generation to solve high-dimensional optimization problems
- Heiko Hoffmann and David W. Payton
- US patent application, filed 2015
|