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Gregory Z. Grudic
Person information
- affiliation: University of Colorado, USA
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2010 – 2019
- 2011
- [c30]Isaac C. Henry, Donald P. Bernstein, Matt J. Banet, Jane Mulligan, Steve Moulton, Gregory Z. Grudic, Victor Convertino:
Body-worn, non-invasive sensor for monitoring stroke volume, cardiac output and cardiovascular reserve. Wireless Health 2011: 26 - 2010
- [c29]Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic:
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation. ICRA 2010: 518-525 - [c28]Abhishek Jaiantilal, Gregory Z. Grudic:
Increasing Feature Selection Accuracy for L1 Regularized Linear Models. FSDM 2010: 86-96 - [p1]Markus Breitenbach, Tim Brennan, William Dieterich, Gregory Z. Grudic:
Clustering of Adolescent Criminal Offenders using Psychological and Criminological Profiles. Data Mining for Business Applications 2010: 123-136
2000 – 2009
- 2009
- [j7]Wesley H. Huang, Gregory Z. Grudic, Larry H. Matthies:
Editorial. J. Field Robotics 26(1): 1-2 (2009) - [j6]Wesley H. Huang, Gregory Z. Grudic, Larry H. Matthies:
Editorial. J. Field Robotics 26(2): 115-116 (2009) - [j5]Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic:
Learning terrain segmentation with classifier ensembles for autonomous robot navigation in unstructured environments. J. Field Robotics 26(2): 145-175 (2009) - [j4]Michael W. Otte, Scott G. Richardson, Jane Mulligan, Gregory Z. Grudic:
Path planning in image space for autonomous robot navigation in unstructured environments. J. Field Robotics 26(2): 212-240 (2009) - [c27]Kevin S. Bauer, Damon McCoy, Eric W. Anderson
, Markus Breitenbach, Gregory Z. Grudic, Dirk Grunwald, Douglas C. Sicker
:
The Directional Attack on Wireless Localization -or- How to Spoof Your Location with a Tin Can. GLOBECOM 2009: 1-6 - [c26]Adam R. Bates, Avleen Singh Bijral, Jane Mulligan, Gregory Z. Grudic:
Traversable path identification in unstructured terrains: A Markov random walk approach. ICRA 2009: 3423-3430 - [c25]Michael W. Otte, Gregory Z. Grudic:
Extracting paths from fields built with linear interpolation. IROS 2009: 4406-4413 - [c24]Samuel Robert Reid, Gregory Z. Grudic:
Regularized Linear Models in Stacked Generalization. MCS 2009: 112-121 - [c23]Michael J. Procopio, W. Philip Kegelmeyer, Gregory Z. Grudic, Jane Mulligan:
Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation. MCS 2009: 385-397 - 2008
- [c22]Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic:
Learning in dynamic environments with Ensemble Selection for autonomous outdoor robot navigation. IROS 2008: 620-627 - [c21]Avleen Singh Bijral, Manuel E. Lladser
, Gregory Z. Grudic:
Semi-supervised Learning of a Markovian Metric. SDM 2008: 466-471 - 2007
- [c20]Gregory Z. Grudic, Jane Mulligan, Michael W. Otte, Adam R. Bates:
Online Learning of Multiple Perceptual Models for Navigation in Unknown Terrain. FSR 2007: 411-420 - [c19]Michael W. Otte, Scott G. Richardson, Jane Mulligan, Gregory Z. Grudic:
Local path planning in image space for autonomous robot navigation in unstructured environments. IROS 2007: 2819-2826 - [c18]Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic:
Long-Term learning using multiple models for outdoor autonomous robot navigation. IROS 2007: 3158-3165 - [c17]Avleen Singh Bijral, Markus Breitenbach, Gregory Z. Grudic:
Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings. AISTATS 2007: 35-42 - 2006
- [j3]Jane Mulligan, Gregory Z. Grudic:
Editorial for Journal of Field Robotics - Special Issue on Machine Learning Based Robotics in Unstructured Environments. J. Field Robotics 23(11-12): 943-944 (2006) - [c16]Gregory Z. Grudic, Jane Mulligan:
Outdoor Path Labeling Using Polynomial Mahalanobis Distance. Robotics: Science and Systems 2006 - 2005
- [c15]Jane Mulligan, Gregory Z. Grudic:
Topological Mapping from Image Sequences. CVPR Workshops 2005: 43 - [c14]Markus Breitenbach, Gregory Z. Grudic:
Clustering through ranking on manifolds. ICML 2005: 73-80 - [c13]Gregory Z. Grudic, Jane Mulligan:
Topological Mapping with Multiple Visual Manifolds. Robotics: Science and Systems 2005: 185-192 - 2004
- [c12]Sander M. Bohté, Markus Breitenbach, Gregory Z. Grudic:
Nonparametric classification with polynomial MPMC cascades. ICML 2004 - 2003
- [c11]Gregory Z. Grudic, Vijay Kumar, Lyle H. Ungar:
Using policy gradient reinforcement learning on autonomous robot controllers. IROS 2003: 406-411 - [c10]Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste:
Sparse Greedy Minimax Probability Machine Classification. NIPS 2003: 105-112 - 2002
- [j2]Rafael Fierro, Aveek K. Das, John R. Spletzer, Joel M. Esposito, Vijay Kumar, James P. Ostrowski, George J. Pappas
, Camillo J. Taylor, Yerang Hur, Rajeev Alur, Insup Lee, Gregory Z. Grudic, Ben Southall:
A Framework and Architecture for Multi-Robot Coordination. Int. J. Robotics Res. 21(10-11): 977-998 (2002) - [c9]Thomas Strohmann, Gregory Z. Grudic:
A Formulation for Minimax Probability Machine Regression. NIPS 2002: 769-776 - 2001
- [c8]Gregory Z. Grudic, Lyle H. Ungar:
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. IJCAI 2001: 965-972 - [c7]Gregory Z. Grudic, Lyle H. Ungar:
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. NIPS 2001: 1515-1522 - 2000
- [c6]Gregory Z. Grudic, Lyle H. Ungar:
Localizing Search in Reinforcement Learning. AAAI/IAAI 2000: 590-595 - [c5]Gregory Z. Grudic, Lyle H. Ungar:
Localizing Policy Gradient Estimates to Action Transition. ICML 2000: 343-350 - [c4]Rajeev Alur, Aveek K. Das, Joel M. Esposito, Rafael Fierro, Gregory Z. Grudic, Yerang Hur, Vijay Kumar, Insup Lee, J. P. Lee, James P. Ostrowski, George J. Pappas, Ben Southall, John R. Spletzer, Camillo J. Taylor:
A Framework and Architecture for Multirobot Coordination. ISER 2000: 303-312
1990 – 1999
- 1998
- [c3]Gregory Z. Grudic, Peter D. Lawrence:
A nonparametric learning approach to vision based mobile robot localization. IROS 1998: 724-729 - 1997
- [c2]Gregory Z. Grudic, Peter D. Lawrence:
Is Nonparametric Learning Practical in Very High Dimensional Spaces? IJCAI (2) 1997: 804-809 - 1996
- [c1]Gregory Z. Grudic, Peter D. Lawrence:
Human-to-robot skill transfer using the SPORE approximation. ICRA 1996: 2962-2967 - 1993
- [j1]Gregory Z. Grudic, Peter D. Lawrence:
Iterative inverse kinematics with manipulator configuration control. IEEE Trans. Robotics Autom. 9(4): 476-483 (1993)
Coauthor Index
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