Publications of the RSE-Lab Sorted by Type

Most recent

• Detection-based Object Labeling in 3D Scenes
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA, 2012.
• Exploiting Segmentation for Robust 3D Object Matching
  M. Krainin, K. Konolige, and D. Fox. ICRA, 2012.
• Interactive Singulation of Objects from a Pile
  L. Chang, J. Smith, and D. Fox. ICRA, 2012.
• Hierarchical matching pursuit for recognition: Architecture and fast algorithms
  L. Bo, X. Ren, and D. Fox. NIPS, 2011.
• Depth Kernel Descriptors for Object Recognition
  L. Bo, X. Ren, and D. Fox. IROS, 2011.
• Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
  M. P. Deisenroth, C. E. Rasmussen, and D. Fox. RSS, 2011.
• A Scalable Tree-based Approach for Joint Object and Pose Recognition
  K. Lai, L. Bo, X. Ren, and D. Fox. AAAI, 2011.
• Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera
  H. Du, P. Henry, X. Ren, M. Cheng, D. B Goldman, S. M. Seitz, and D. Fox. UbiComp, 2011.
• Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera
  A. S. Huang, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. Fox, and N. Roy. ISRR, 2011.

Book

• Probabilistic Robotics.
  S. Thrun, W. Burgard, D. Fox. MIT Press, September 2005.

Journals and Magazines

• Manipulator and Object Tracking for In-Hand 3D Object Modeling.
  M. Krainin, P. Henry, X. Ren, and D. Fox. IJRR, 2011.
• Learning GP-BayesFilters via Gaussian process latent variable models.
  J. Ko, and D. Fox. Autonomous Robots, 2011.
• Classification and semantic mapping of urban environments.
  B. Douillard, D. Fox, F. Ramos, and H. Durrant-Whyte. International Journal of Robotics Research (IJRR), 2011.
• Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
  K. Lai, and D. Fox. International Journal of Robotics Research (IJRR), 2010.
• Location-Aware Tools for Improving Public Transit Usability
  B. Ferris, K. Watkins, and A. Borning. IEEE Pervasive Computing, Vol 9, no 1, 2010.
• Distributed Multirobot Exploration, Mapping, and Task Allocation.
  R. Vincent, D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Morisset, C. Ortiz, D. Schulz, and B. Stewart. Ann. Math. AI 08.
• GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models.
  J. Ko, and D. Fox. ARJ-09.
• Learning and Inferring Transportation Routines.
  L. Liao, D.J. Patterson, D. Fox, and H. Kautz. Artificial Intelligence, 2007.
• Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields.
  L. Liao, D. Fox, and H. Kautz. International Journal of Robotics Research, 2007.
• Distributed Multi-Robot Exploration and Mapping.
  D. Fox, J. Ko, K. Konolige, B. Limketkai, D. Schulz, and B. Stewart. Proceedings of the IEEE, 2006.
• Real-time Particle Filters.
  C. Kwok, D. Fox, and M. Meila. Proceedings of the IEEE, 92(2), 2004.
• Bayesian filtering for location estimation.
  D. Fox, J. Hightower, L. Liao, D. Schulz, and G. Borriello. IEEE Pervasive Computing, 2003.
• Adapting the sample size in particle filters through KLD-sampling.
  D. Fox. International Journal of Robotics Research IJRR, 2003.
• People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters.
  D. Schulz, W. Burgard, D. Fox, and A. B. Cremers. International Journal of Robotics Research (IJRR), 22(2), 2003.
• Robust Monte Carlo Localization for Mobile Robots.
  S. Thrun, D. Fox, W. Burgard, and F. Dellaert. Artificial Intelligence (AIJ), 2001.
• Integrated Plan-based Control of Autonomous Service Robots in Human Environments.
  M. Beetz, T. Arbuckle, T. Belker, M. Bennewitz, W. Burgard, A. Cremers, D. Fox, H. Grosskreutz, D. Haehnel, and D. Schulz. IEEE Intelligent Systems, 16 (5), 2001.
• Probabilistic algorithms and the interactive museum tour-guide robot minerva.
  S. Thrun, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. International Journal of Robotics Research (IJRR), 19 (11), 2000.
• A Probabilistic Approach to Collaborative Multi-Robot Localization.
  D. Fox, W. Burgard, H. Kruppa, and S. Thrun. Autonomous Robots, 8 (3), 2000.
• Web interfaces for mobile robots in public places.
  D. Schulz, W. Burgard, D. Fox, S. Thrun, and A.B. Cremers. IEEE-Magazine on Robotics and Automation, 7 (1), 2000.
• Markov Localization for Mobile Robots in Dynamic Environments.
  D. Fox, W. Burgard, and S. Thrun. Journal of Artificial Intelligence Research (JAIR), 11, 1999.
  Honorable Mention: 2004 IJCAII-JAIR Best Paper Award.
• Experiences with an interactive museum tour-guide robot.
  W. Burgard, A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. Artificial Intelligence (AIJ), 114 (1-2) 1999.
• Active markov localization for mobile robots.
  D. Fox, W. Burgard, and S. Thrun. Robotics and Autonomous Systems (RAS), 25:195-207, 1998.
• Integrating active localization into high-level robot control systems.
  M. Beetz, W. Burgard, D. Fox, and A.B. Cremers. Robotics and Autonomous Systems (RAS), 23:205-220, 1998.
• A probabilistic approach to concurrent mapping and localization for mobile robots.
  S. Thrun, D. Fox, and W. Burgard. Machine Learning and Autonomous Robots (joint issue) (ML), (31), 1998.
• The dynamic window approach to collision avoidance.
  D. Fox, W. Burgard, and S. Thrun. IEEE Robotics & Automation Magazine, 4(1), March 1997.
• The mobile robot Rhino.
  J. Buhmann, W. Burgard, A.B. Cremers, D. Fox, T. Hofmann, F. Schneider, J. Strikos, and S. Thrun. AI Magazine, 16(2), Summer 1995

Conferences

• Detection-based Object Labeling in 3D Scenes
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA, 2012.
• Exploiting Segmentation for Robust 3D Object Matching.
  M. Krainin, K. Konolige, and D. Fox. ICRA, 2012.
• Interactive Singulation of Objects from a Pile.
  L. Chang, J. Smith, and D. Fox. ICRA, 2012.
• Hierarchical matching pursuit for recognition: Architecture and fast algorithms
  L. Bo, X. Ren, and D. Fox. NIPS, 2011.
• Depth Kernel Descriptors for Object Recognition
  L. Bo, X. Ren, and D. Fox. IROS, 2011.
• Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
  M. P. Deisenroth, C. E. Rasmussen, and D. Fox. RSS, 2011.
• A Scalable Tree-based Approach for Joint Object and Pose Recognition
  K. Lai, L. Bo, X. Ren, and D. Fox. AAAI, 2011.
• Object recognition with hierarchical kernel descriptors.
  L. Bo, K. Lai, X. Ren, and D. Fox. CVPR, 2011.
• Toward object discovery and modeling via 3-D scene comparison.
  E. Herbst, P. Henry, X. Ren, and D. Fox. ICRA, 2011.
• Autonomous Generation of Complete 3D Object Models Using Next Best View Manipulation Planning.
  M. Krainin, B. Curless, and D. Fox. ICRA, 2011.
• Sparse distance learning for object recognition combining RGB and depth information.
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA, 2011.
  Best Vision Paper Award.
• A large-scale hierarchical multi-view RGB-D object dataset.
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA, 2011.
• Gambit: An autonomous chess playing manipulator.
  C. Matuszek, B. Mayton, R. Aimi, L. Bo, M. Deisenroth, R. Chu, M. Kung, L. LeGrand, J. Smith, and D. Fox. ICRA, 2011.
• Heatwave: Thermal imaging for surface user interaction.
  E. Larson, G. Cohn, S. Gupta, X. Ren, B. Harrison, D. Fox, and S. Patel. CHI, 2011.
• RGB-D Mapping: Using depth cameras for dense 3D modeling of indoor environments
  P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox. ISER, 2010.
• Kernel Descriptors for Visual Recognition.
  L. Bo, X. Ren, and D. Fox. NIPS, 2010.
• Following Directions Using Statistical Machine Translation.
  C. Matuszek, D. Fox, and K. Koscher. HRI 2010.
• OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit.
  B. Ferris, K. Watkins, and A. Borning. CHI 2010.
• Learning GP-BayesFilters via Gaussian Process Latent Variable Models.
  J. Ko and D. Fox. RSS-09.
• 3D Laser Scan Classification Using Web Data and Domain Adaptation.
  K. Lai and D. Fox. RSS-09.
• Anatomically Correct Testbed Hand Control: Muscle and Joint Control Strategies.
  A. Deshpande, J. Ko, D. Fox, and Y. Matsuoka. ICRA-09.
• GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models.
  J. Ko, and D. Fox. IROS-08.
• Laser and Vision Based Outdoor Object Mapping
  B. Douillard, D. Fox, and F. Ramos. RSS-08.
• GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models.
  J. Ko, D. Klein, D. Fox, and D. Hähnel. IROS-07. Best Student Paper Award.
• A Spatio-Temporal Probabilistic Model for Multi-Sensor Object Recognition.
  B. Douillard, D. Fox, and F. Ramos. IROS-07.
• CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching.
  F. Ramos, D. Fox, and H. Durrant-Whyte. RSS-07.
• Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp.
  J. Ko, D. Klein, D. Fox, and D. Hähnel. ICRA-07.
• CRF-filters: Discriminative Particle Filters for Sequential State Estimation .
  B. Limketkai, D. Fox, and L. Liao. ICRA-07.
• Voronoi Random Fields: Extracting the Topological Structure of Indoor Environments via Place Labeling.
  S. Friedman, H. Pasula, and D. Fox. IJCAI-07.
• Training Conditional Random Fields using Virtual Evidence Boosting.
  L. Liao, T. Choudhury, D. Fox, and H. Kautz. IJCAI-07.
• WiFi-SLAM Using Gaussian Process Latent Variable Models.
  B. Ferris, D. Fox, and N. Lawrence. IJCAI-07.
• Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals.
  C. Plagemann, D. Fox, and W. Burgard. IJCAI-07.
• Recognizing Activities and Spatial Context Using Wearable Sensors.
  A. Subramanya, A. Raj, J. Bilmes, and D. Fox. UAI-06.
• Gaussian Processes for Signal Strength-Based Location Estimation.
  B. Ferris, D. Haehnel, and D. Fox. RSS-06.
• Location-Based Activity Recognition.
  L. Liao, D. Fox, and H. Kautz. NIPS-05.
• Large-Scale Localization from Wireless Signal Strength.
  J. Letchner, D. Fox, and A. LaMarca. AAAI-05.
• Relational Object Maps for Mobile Robots.
  B. Limketkai, L. Liao, and D. Fox. IJCAI-05.
• Location-Based Activity Recognition using Relational Markov Networks.
  L. Liao, D. Fox, and H. Kautz. IJCAI-05.
• Autonomous Terrain Mapping and Classification Using Hidden Markov Models.
  J. Wolf, G. Sukhatme, D. Fox, and W. Burgard. ICRA-05.
• Bayesian Color Estimation for Adaptive Vision-based Robot Localization.
  D. Schulz and D. Fox. IROS-04.
• Reinforcement Learning for Sensing Strategies.
  C. Kwok and D. Fox. IROS-04.
• Mapping and Localization with RFID Technology.
  D. Hähnel, W. Burgard, D. Fox, K. Fishkin, and M. Philipose. ICRA-04.
• Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services.
  D. J. Patterson, L. Liao, K. Gajos, M. Collier, N. Livic, K. Olson, S. Wang, D. Fox, and H. Kautz. UBICOMP-04.
• Learning and Inferring Transportation Routines.
  L. Liao, D. Fox, and H. Kautz. AAAI-04. Outstanding Paper Award.
• The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach.
  B. Stewart, J. Ko, D. Fox, and K. Konolige. UAI-03.
• People Tracking with Anonymous and ID-sensors Using Rao-Blackwellised Particle Filters.
  D. Schulz, D. Fox, and J. Hightower. IJCAI-03.
• Inferring High-Level Behavior from Low-Level Sensors.
  D.J. Patterson, L. Liao, D. Fox, and H. Kautz. UBICOMP-03.
• A Practical, Decision-theoretic Approach to Multi-robot Mapping and Exploration.
  J. Ko, B. Stewart, D. Fox, K. Konolige, and B. Limketkai. IROS-03
• Voronoi Tracking: Location Estimation Using Sparse and Noisy Sensor Data.
  L. Liao, D. Fox, J. Hightower, H. Kautz, and D. Schulz. IROS-03.
• Map merging for distributed robot navigation.
  K. Konolige, D. Fox, J. Ko, B. Limketkai, and B. Stewart. IROS-03.
• An Efficient FastSLAM Algorithm for Generating Maps of Large-scale Cyclic Environments From Raw Laser Range Measurements.
  D. Haehnel, W. Burgard, D. Fox, and S. Thrun. IROS-03.
• Adaptive Real-time Particle Filters for Robot Localization.
  C. Kwok, D. Fox, and M. Meila. ICRA-03.
• Real-time Particle Filters.
  C. Kwok, D. Fox, and M. Meila. NIPS-02.
• Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots.
  D. Anguelov, R. Biswas, D. Koller, B. Limketkai, and S. Thrun. UAI-02.
• Toward Object Mapping in Dynamic Environments with Mobile Robots.
  R. Biswas, B. Limketkai, S. Sanner, and S. Thrun. IROS-02.
• PlantCare: An Investigation in Practical Ubiquitous Systems
  A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. Borriello. UBICOMP-02.
• An experimental comparison of localization methods continued.
  J.-S. Gutmann and D. Fox. IROS-02.
• Making Sensor Networks Practical with Robots
  A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. Borriello. PERVASIVE-02.
• Tracking Multiple Moving Objects with a Mobile Robot.
  D. Schulz, W. Burgard, D. Fox, and A. B. Cremers. CVPR-01.
• KLD-Sampling: Adaptive Particle Filters.
  D. Fox. NIPS-01.
• Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association.
  D. Schulz, W. Burgard, D. Fox, and A. B. Cremers. ICRA-01. Best Vision Paper Award Finalist.
• Soccer-Robot Locatization Using Sporadic Visual Features.
  S. Enderle, M. Ritter, D. Fox, S. Sablatnög, G. Kraetzschmar and G. Palm. IAS-00.
• Coordinated Deployment of Multiple, Heterogeneous Robots.
  R. Simmons, D. Apfelbaum, D. Fox, R. P. Goldman, K. Zita Haigh, D. J. Musliner, M. Pelican, and S. Thrun. IROS-00.
• Monte carlo localization with mixture proposal distribution.
  S. Thrun, D. Fox, and W. Burgard. AAAI-00.
• Coordination for multi-robot exploration and mapping.
  R. Simmons, D. Apfelbaum, W. Burgard, D. Fox, M. Moors, S. Thrun, and H. Younes. AAAI-00.
• A real-time algorithm for mobile robot mapping with applications to multi-robot and 3d mapping.
  S. Thrun, W. Burgard, and D. Fox. ICRA-00. Best paper award
• Collaborative Multi-Robot Exploration.
  W. Burgard, M. Moors, D. Fox, R. Simmons, and S. Thrun. ICRA-00.
• Monte carlo localization: Efficient position estimation for mobile robots.
  D. Fox, W. Burgard, F. Dellaert, and S. Thrun. AAAI-99.
• Collaborative Multi-Robot Localization.
  D. Fox, W. Burgard, H. Kruppa, and S. Thrun. KI-99. DAGM outstanding paper award.
• Experiences with two deployed interactive tour-guide robots.
  S. Thrun, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, and W. Steiner. FSR-99.
• Using the condensation algorithm for robust, vision-based mobile robot localization.
  F. Dellaert, W. Burgard, D. Fox, and S. Thrun. CVPR-99.
• Monte Carlo hidden Markov models: Learning non-parametric models of partially observable stochastic processes.
  S. Thrun, J. Langford, and D. Fox. ICML-99.
• Sonar-based mapping of large-scale mobile robot environments using EM.
  W. Burgard, D. Fox, H. Jans, C. Matenar, and S. Thrun. ICML-99.
• MINERVA: A second generation mobile tour-guide robot.
  S. Thrun, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. ICRA-99.
• Monte carlo localization for mobile robots.
  F. Dellaert, D. Fox, W. Burgard, and S. Thrun. ICRA-99.
• Coastal navigation: Mobile robot navigation with uncertainty in dynamic environments.
  N. Roy, W. Burgard, D. Fox, and S. Thrun. ICRA-99.
• Position estimation for mobile robots in dynamic environments.
  D. Fox, W. Burgard, S. Thrun, and A.B. Cremers. AAAI-98.
• Integrating topological and metric maps for mobile robot navigation: A statistical approach
  S. Thrun, J.-S. Gutmann, D. Fox, W. Burgard, and B. Kuipers. AAAI-98.
• The interactive museum tour-guide robot.
  W. Burgard, A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun.
  AAAI-98. Outstanding paper award
• An experimental comparison of localization methods.
  J.-S. Gutmann, W. Burgard, D. Fox, and K. Konolige. IROS-98. Best paper award
• Integrating global position estimation and position tracking for mobile robots: the Dynamic Markov Localization approach.
  W. Burgard, A. Derr, D. Fox, and A.B. Cremers. IROS-98.
• A hybrid collision avoidance method for mobile robots.
  D. Fox, W. Burgard, S. Thrun, and A.B. Cremers. ICRA-98.
• Probabilistic mapping of an environment by a mobile robot.
  S. Thrun, D. Fox, and W. Burgard. ICRA-98.
• Active mobile robot localization.
  W. Burgard, D. Fox, and S. Thrun. IJCAI-97.
• Fast grid-based position tracking for mobile robots.
  W. Burgard, D. Fox, and D. Hennig. KI-97.
• Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids.
  W. Burgard, D. Fox, D. Hennig, and T. Schmidt. AAAI-96.
• Controlling synchro-drive robots with the dynamic window approach to collision avoidance.
  D. Fox, W. Burgard, and S. Thrun. IROS-96.