Gregory Z. Grudic

Publication Activity (10 Years)

Years Active: 1993-2011
Publications (10 Years): 0

Publications

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)
Abhishek Jaiantilal, Gregory Z. Grudic
Increasing Feature Selection Accuracy for L1 Regularized Linear Models. FSDM (2010)
Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation. ICRA (2010)
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) (2009)
Samuel Robert Reid, Gregory Z. Grudic
Regularized Linear Models in Stacked Generalization. MCS (2009)
Michael W. Otte, Gregory Z. Grudic
Extracting paths from fields built with linear interpolation. IROS (2009)
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)
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)
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) (2009)
Wesley H. Huang, Gregory Z. Grudic, Larry H. Matthies
Editorial. J. Field Robotics 26 (1) (2009)
Adam R. Bates, Avleen Singh Bijral, Jane Mulligan, Gregory Z. Grudic
Traversable path identification in unstructured terrains: A Markov random walk approach. ICRA (2009)
Wesley H. Huang, Gregory Z. Grudic, Larry H. Matthies
Editorial. J. Field Robotics 26 (2) (2009)
Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic
Learning in dynamic environments with Ensemble Selection for autonomous outdoor robot navigation. IROS (2008)
Avleen Singh Bijral, Manuel E. Lladser, Gregory Z. Grudic
Semi-supervised Learning of a Markovian Metric. SDM (2008)
Gregory Z. Grudic, Jane Mulligan, Michael W. Otte, Adam R. Bates
Online Learning of Multiple Perceptual Models for Navigation in Unknown Terrain. FSR (2007)
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)
Michael J. Procopio, Jane Mulligan, Gregory Z. Grudic
Long-Term learning using multiple models for outdoor autonomous robot navigation. IROS (2007)
Avleen Singh Bijral, Markus Breitenbach, Gregory Z. Grudic
Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings. AISTATS (2007)
Gregory Z. Grudic, Jane Mulligan
Outdoor Path Labeling Using Polynomial Mahalanobis Distance. Robotics: Science and Systems (2006)
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) (2006)
Jane Mulligan, Gregory Z. Grudic
Topological Mapping from Image Sequences. CVPR Workshops (2005)
Gregory Z. Grudic, Jane Mulligan
Topological Mapping with Multiple Visual Manifolds. Robotics: Science and Systems (2005)
Markus Breitenbach, Gregory Z. Grudic
Clustering through ranking on manifolds. ICML (2005)
Sander M. Bohté, Markus Breitenbach, Gregory Z. Grudic
Nonparametric classification with polynomial MPMC cascades. ICML (2004)
Gregory Z. Grudic, Vijay Kumar, Lyle H. Ungar
Using policy gradient reinforcement learning on autonomous robot controllers. IROS (2003)
Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste
Sparse Greedy Minimax Probability Machine Classification. NIPS (2003)
Thomas Strohmann, Gregory Z. Grudic
A Formulation for Minimax Probability Machine Regression. NIPS (2002)
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) (2002)
Gregory Z. Grudic, Lyle H. Ungar
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. NIPS (2001)
Gregory Z. Grudic, Lyle H. Ungar
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. IJCAI (2001)
Gregory Z. Grudic, Lyle H. Ungar
Localizing Policy Gradient Estimates to Action Transition. ICML (2000)
Gregory Z. Grudic, Lyle H. Ungar
Localizing Search in Reinforcement Learning. AAAI/IAAI (2000)
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)
Gregory Z. Grudic, Peter D. Lawrence
A nonparametric learning approach to vision based mobile robot localization. IROS (1998)
Gregory Z. Grudic, Peter D. Lawrence
Is Nonparametric Learning Practical in Very High Dimensional Spaces? IJCAI (2) (1997)
Gregory Z. Grudic, Peter D. Lawrence
Human-to-robot skill transfer using the SPORE approximation. ICRA (1996)
Gregory Z. Grudic, Peter D. Lawrence
Iterative inverse kinematics with manipulator configuration control. IEEE Trans. Robotics Autom. 9 (4) (1993)