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Robotics, artificial intelligence, activity recognition
IQA: Visual Question Answering in Interactive Environments
Re3: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
Dynamic High Resolution Deformable Articulated Tracking
Visual Semantic Planning Using Deep Successor Representations
Self-supervised Visual Descriptor Learning for Dense Correspondence
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Towards Learning to Perceive and Reason About Liquids
Evaluating Task-Dependent Taxonomies for Navigation
NEOL: Toward Never-Ending Object Learning for Robots
DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Depth-Based Tracking with Physical Constraints for Robot Manipulation
Graph-Based Inverse Optimal Control for Robot Manipulation
Building Hierarchies of Concepts via Crowdsourcing
A Bayesian developmental approach to robotic goal-based imitation learning
Building Hierarchies of Concepts via Crowdsourcing
DART: dense articulated real-time tracking with consumer depth cameras
DART: Dense Articulated Real-Time Tracking
Space-Time Functional Gradient Optimization for Motion Planning
ST-HMP: Unsupervised Spatio-Temporal Feature Learning for Tactile Data
Unsupervised Feature Learning for 3D Scene Labeling
Multi-Task Policy Search for Robotics
Toward Online 3-D Object Segmentation and Mapping
Hierarchical Sparse Coded Surface Models
Autonomous Scene Exploration with RGB-D Cameras
:UW-CSE-14-05-03, 2014.Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Learning Predictive Models of a Depth Camera & Manipulator from Raw Execution Traces
Learning to Identify New Objects
Patch Volumes: Segmentation-based Consistent Mapping with RGB-D Cameras
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/patch-volume... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/patch-volumes-3dv... BIB
Control Strategies for the Index Finger of a Tendon-driven Hand
RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth
RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark
http://www.springer.com/computer/image+processing/book/978-1-4471-4639-1 LINK
http://homes.cs.washington.edu/~kevinlai/publications/lai_rgbd13.bib bibtex
Multipath Sparse Coding Using Hierarchical Matching Pursuit
Compact RGBD surface models based on sparse coding
Attribute Based Object Identification
Learning to Parse Natural Language Commands to a Robot Control System
A Joint Model of Language and Perception for Grounded Attribute Learning
RGB-D Mapping: Using Kinect-Style Depth Cameras for Dense 3D Modeling of Indoor Environments
http://homes.cs.washington.edu/~peter/papers/3d-mapping-ijrr-12-preprint... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Hen12RGB.bib bibtex
DuploTrack: A Realtime System for Authoring and Guiding Duplo Block Assembly
http://grail.cs.washington.edu/projects/duplotrack/Gupta_DuploTrack.pdf PDF
http://grail.cs.washington.edu/projects/duplotrack/ Project page
Detection-based Object Labeling in 3D Scenes
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/3dobject-lab... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra12.bib bibtex
http://www.cs.washington.edu/ai/Mobile_Robotics/projects/3d-object-recog... video
http://www.cs.washington.edu/rgbd-dataset/dataset/rgbd-scene-labeling code
Manipulator and Object Tracking for In-Hand 3D Object Modeling
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/ijrr-11-trac... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Kra11Man.bib bibtex
Learning GP-BayesFilters via Gaussian Process Latent Variable Models
Sparse Distance Learning for Object Recognition Combining RGB and Depth Information
Classification and Semantic Mapping of Urban Environments
A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rgbd-dataset... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11a.bib bibtex
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11a.ppt poster
http://www.cs.washington.edu/rgbd-dataset dataset
HeatWave: Thermal Imaging for Surface User Interaction
Learning to Navigate Through Crowded Environments
/sites/default/files/ai/papers/crowd-navigation-icra-10.pdf PDF
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/scan-domain-... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_ijrr10.bib bibtex
GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models
Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context From Wearable Sensors
Distributed Multirobot Exploration, Mapping, and Task Allocation
Hierarchical Conditional Random Fields for GPS-based Activity Recognition
Learning and Inferring Transportation Routines
GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp
,Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals
,Centibots: Very large scale distributed robotic teams
Distributed Multi-robot Exploration and Mapping
Probabilistic Robotics
A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
Real-time particle filters
Learning and Inferring Transportation Routines
Map-based Multiple Model Tracking of a Moving Object
CentiBOTS: Large-Scale Robot Teams
Inferring High-Level Behavior from Low-Level Sensors
People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters
Bayesian Filtering for Location Estimation
Research on Statistical Relational Learning at the University of Washington
Adapting the Sample Size in Particle Filters Through KLD-Sampling
Bayesian Techniques for Location Estimation
Distributed Multi-Robot Mapping
Real-time Particle Filters
Map merging for distributed robot navigation
Real-time Particle Filters Using Mixtures of Samples Sets
Intelligent Ubiquitous Computing to Support Alzheimer's Patients: Enabling the Cognitively Disabled
An Overview of the Assisted Cognition Project
Robust Monte Carlo localization for mobile robots
KLD-Sampling: Adaptive Particle Filters
Integrated Plan-based Control of Autonomous Service Robots in Human Environments
Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.
Web Interfaces for Mobile Robots in Public Places
A Probabilistic Approach to Collaborative Multi-Robot Localization
Efficient multi-robot localization based on Monte Carlo approximation
A Real-Time Algorithm for Mobile Robot Mapping With Applications to Multi-Robot and 3D Mapping
Markov Localization for Mobile Robots in Dynamic Environments
Probabilistic Methods for Mobile Robot Mapping
Experiences with an Interactive Museum Tour-Guide Robot
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots
Markov Localization for Reliable Robot Navigation and People Detection
Collaborative Multi-Robot Localization
Sonar-Based Mapping of Large-Scale Mobile Robot Environments Using EM
/home/dfox/www/postscripts/em-mapping-icml-99.ps.gz PS