Learning and Intelligent Systems

Learning and Intelligent Systems

Learning and Intelligent Systems

Research interests include behavior learning in very large environments, learning for robot motion planning, visual scene understanding, and transfer learning.

PIs

Leslie Pack Kaelbling

Tomas Lozano-Perez

Post-doctoral researchers

Ph.D. Students

Meg Aycinena
Jenny Barry
Han-Pang "Bon Bon" Chiu
Sam Davies
Sarah Finney
Natalia Hernandez Gardiol
Ben Hong
Kaijen Hsiao
Nick Matsakis
James McLurkin
Dan Roy
Selim Temizer
Luke Zettlemoyer

Visiting Students

LU Wei
WU Dan

Masters students

Group alumni

Zvika Marx
Michael Rosenstein
Luis Ortiz
Hanna Pasula
Yu-Han Chang
Michael Ross
Kurt Steinkraus
Mike Benjamin
Terran Lane
Kevin Murphy
Leonid Peshkin
Tim Oates
Bruno Scherrer
Ashwin Deshpande
Jiwon Kim

Related things

Group research abstracts

2007

Efficient Object Localization Using Probabilistic Geometric Grammars
Meg Aycinena, Leslie Pack Kaelbling & Tomas Lozano-Perez

Virtual Training for Multi-View Object Class Recognition
Han-Pang Chiu, Tomas Lozano-Perez & Leslie Pack Kaelbling

Generalized Hough Transforms For View-Independent Object Localization
Samuel I. Davies, Leslie Pack Kaelbling & Tomas Lozano-Perez

Learning Probabilistic Relational Dynamics for Multiple Tasks
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer & Leslie Pack Kaelbling

Predicting Partial Paths from Planning Problem Parameters
Sarah Finney, Tomas Lozano-Perez & Leslie Pack Kaelbling

Computing Equivalence Classes for Planning
Natalia H. Gardiol & Leslie Pack Kaelbling

Grasping POMDPs
Kaijen Hsiao, Leslie Pack Kaelbling & Tomas Lozano-Perez

Example-based Grasp Learning
Jiwon Kim, Kaijen Hsiao & Tomas Lozano-Perez

Inference and Learning in Bayesian Logic (BLOG)
Brian Milch & Leslie Pack Kaelbling

Efficient Bayesian Task-Level Transfer Learning
Daniel M. Roy & Leslie Pack Kaelbling

2006

Computing Equivalence Classes for Planning Natalia H. Gardiol & Leslie Pack Kaelbling

Transfer Learning with an Ensemble of Background Tasks
Zvika Marx, Michael T. Rosenstein, Leslie Pack Kaelbling & Thomas G. Dietterich

To Transfer or Not To Transfer
Michael T. Rosenstein, Zvika Marx, Leslie Pack Kaelbling & Thomas G. Dietterich

LabelMe: A Database and Web-based Tool for Image Annotation
Bryan C. Russell, Antonio Torralba, Samuel Davies, Kevin P. Murphy & William T. Freeman

2005

Probabilistic Geometric Grammars for Object Recognition
Meg Aycinena, Leslie Pack Kaelbling & Tomas Lozano-Perez

Multi-Agent Learning: From Game Theory to Ad-hoc Networks
Yu-Han Chang & Leslie Pack Kaelbling

Matching Interest Points Using Affine Invariant Concentric Circles
Han-Pang Chiu & Tomas Lozano-Perez

Learning Subtask Goal to Improve Motion Planning
Sarah Finney, Tomas Lozano-Perez & Leslie Pack Kaelbling

Imitation Learning of Whole-Body Grasps
Kaijen Hsiao & Tomas Lozano-Perez

Learning Static Object Segmentation From Motion Segmentation
Michael G. Ross & Leslie Pack Kaelbling