2019
Object Discovery in Videos as Foreground Motion Clustering
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Conditional Driving from Natural Language Instruction
2018
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks
Simulating action dynamics with neural process networks
Re3: Real-Time Recurrent Regression Networks for Object Tracking
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
DeepIM: Deep Iterative Matching for 6D Pose Estimation
IQA: Visual Question Answering in Interactive Environments
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
2017
Dynamic High Resolution Deformable Articulated Tracking
Visual Closed-Loop Control for Pouring Liquids
Self-supervised Visual Descriptor Learning for Dense Correspondence
Visual Semantic Planning using Deep Successor Representations
See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content
Learning Robotic Manipulation of Granular Media
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
Reasoning About Liquids via Closed-Loop Simulation
2016
Towards Learning to Perceive and Reason About Liquids
NEOL: Toward Never-Ending Object Learning for Robots
Toward Never-Ending Object Learning for Robots
Evaluating Task-Dependent Taxonomies for Navigation
2015
DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time
Graph-Based Inverse Optimal Control for Robot Manipulation
Depth-Based Tracking with Physical Constraints for Robot Manipulation
Gaussian Processes for Data-Efficient Learning in Robotics and Control
DART: dense articulated real-time tracking with consumer depth cameras
Building Hierarchies of Concepts via Crowdsourcing
A Bayesian developmental approach to robotic goal-based imitation learning
2014
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
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Learning to Identify New Objects
Hierarchical Sparse Coded Surface Models
Autonomous Scene Exploration with RGB-D Cameras
:UW-CSE-14-05-03, 2014.Learning Predictive Models of a Depth Camera & Manipulator from Raw Execution Traces
2013
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 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
RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth
Multipath Sparse Coding Using Hierarchical Matching Pursuit
Attribute Based Object Identification
Compact RGBD surface models based on sparse coding
2012
Unsupervised Feature Learning for RGB-D Based Object Recognition
http://www.cs.washington.edu/homes/lfb/paper/iser12.pdf PDF
http://www.cs.washington.edu/homes/lfb/paper/iser12.bib bibtex
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
Object Segmentation from Motion with Dense Feature Matching
Interactive singulation of objects from a pile
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
2011
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
Sparse Distance Learning for Object Recognition Combining RGB and Depth Information
Learning GP-BayesFilters via Gaussian Process Latent Variable Models
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
Gambit: An Autonomous Chess Playing Manipulator
Classification and Semantic Mapping of Urban Environments
HeatWave: Thermal Imaging for Surface User Interaction
2010
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
2009
GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models
2008
Laser and Vision Based Outdoor Object Mapping
GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models
Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context From Wearable Sensors
Learning to Associate Image Features with CRF-Matching
Distributed Multirobot Exploration, Mapping, and Task Allocation
2007
Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp
GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models
Learning and Inferring Transportation Routines
Voronoi Random Fields: Extracting the Topological Structure of Indoor Environments via Place Labeling
WiFi-SLAM Using Gaussian Process Latent Variable Models
Hierarchical Conditional Random Fields for GPS-based Activity Recognition
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals
2006
Centibots: Very large scale distributed robotic teams
Distributed Multi-robot Exploration and Mapping
2005
Probabilistic Robotics
Relational Object Maps for Mobile Robots
Location-Based Activity Recognition
A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building
Large-Scale Localization from Wireless Signal Strength
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
2004
Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services
Map-based Multiple Model Tracking of a Moving Object
Real-time particle filters
Reinforcement Learning for Sensing Strategies
Learning and Inferring Transportation Routines
Mapping and Localization with RFID Technology
2003
People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters
CentiBOTS: Large-Scale Robot Teams
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
Inferring High-Level Behavior from Low-Level Sensors
Adapting the Sample Size in Particle Filters Through KLD-Sampling
Distributed Multi-Robot Mapping
Bayesian Techniques for Location Estimation
An efficient FastSLAM Algorithm for Generating Maps of Large-Scale Cyclic Environments from Raw Laser Range Measurements
Real-time Particle Filters
Map merging for distributed robot navigation
2002
Making sensor networks practical with robots
PlantCare: An investigation in practical ubiquitous systems
Real-time Particle Filters Using Mixtures of Samples Sets
An Overview of the Assisted Cognition Project
Intelligent Ubiquitous Computing to Support Alzheimer's Patients: Enabling the Cognitively Disabled
2001
Tracking Multiple Moving Objects with a Mobile Robot
Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association
Robust Monte Carlo localization for mobile robots
KLD-Sampling: Adaptive Particle Filters
Integrated Plan-based Control of Autonomous Service Robots in Human Environments
2000
Collaborative Multi-Robot Exploration
Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.
Web Interfaces for Mobile Robots in Public Places
A Real-Time Algorithm for Mobile Robot Mapping With Applications to Multi-Robot and 3D Mapping
Coordination for Multi-Robot Exploration and Mapping
A Probabilistic Approach to Collaborative Multi-Robot Localization
Coordinated Deployment of Multiple, Heterogeneous Robots
Efficient multi-robot localization based on Monte Carlo approximation
1999
Experiences with an Interactive Museum Tour-Guide Robot
Markov Localization for Mobile Robots in Dynamic Environments
Probabilistic Methods for Mobile Robot Mapping
MINERVA: A second generation mobile tour-guide robot
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots
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