Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs

[1]  Keith D. Kastella,et al.  Foundations and Applications of Sensor Management , 2010 .

[2]  M. Sridharan,et al.  Vision-based Scene Analysis on Mobile Robots using Layered POMDPs , 2010 .

[3]  Craig Boutilier,et al.  Preference elicitation with subjective features , 2009, RecSys '09.

[4]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[5]  N.J. Butko,et al.  I-POMDP: An infomax model of eye movement , 2008, 2008 7th IEEE International Conference on Development and Learning.

[6]  Richard Dearden,et al.  HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot , 2008, ICAPS.

[7]  Marc Toussaint,et al.  Hierarchical POMDP Controller Optimization by Likelihood Maximization , 2008, UAI.

[8]  KrauseAndreas,et al.  Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies , 2008 .

[9]  Andreas Krause,et al.  Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies , 2008, J. Mach. Learn. Res..

[10]  Nando de Freitas,et al.  Target-directed attention: Sequential decision-making for gaze planning , 2008, 2008 IEEE International Conference on Robotics and Automation.

[11]  Russell Greiner,et al.  Improving an Adaptive Image Interpretation System by Leveraging , 2008 .

[12]  Aaron Sloman,et al.  Towards an Integrated Robot with Multiple Cognitive Functions , 2007, AAAI.

[13]  Panos E. Trahanias,et al.  Real-time hierarchical POMDPs for autonomous robot navigation , 2007, Robotics Auton. Syst..

[14]  Henrik I. Christensen,et al.  Situated Dialogue and Spatial Organization: What, Where… and Why? , 2007 .

[15]  Andrew McCallum,et al.  Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data , 2004, J. Mach. Learn. Res..

[16]  Stefan Edelkamp,et al.  Automated Planning: Theory and Practice , 2007, Künstliche Intell..

[17]  Bernhard Nebel,et al.  Continual planning and acting in dynamic multiagent environments , 2006, PCAR '06.

[18]  Sebastian Thrun,et al.  Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.

[19]  Reid G. Simmons,et al.  Point-Based POMDP Algorithms: Improved Analysis and Implementation , 2005, UAI.

[20]  Nikos A. Vlassis,et al.  Robot Planning in Partially Observable Continuous Domains , 2005, BNAIC.

[21]  Alfred O. Hero,et al.  Sensor management using an active sensing approach , 2005, Signal Process..

[22]  Joelle Pineau,et al.  POMDP Planning for Robust Robot Control , 2005, ISRR.

[23]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[24]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[25]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[26]  Daniel P. Huttenlocher,et al.  Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.

[27]  Leslie Pack Kaelbling,et al.  Representing hierarchical POMDPs as DBNs for multi-scale robot localization , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[28]  Fahiem Bacchus,et al.  Extending the Knowledge-Based Approach to Planning with Incomplete Information and Sensing , 2004, ICAPS.

[29]  Paolo Traverso,et al.  Automated Planning: Theory & Practice , 2004 .

[30]  Sabine Moisan.  Program Supervision : Yakl and Pegase+ Reference and User Manual , 2003 .

[31]  Eric A. Hansen,et al.  Synthesis of Hierarchical Finite-State Controllers for POMDPs , 2003, ICAPS.

[32]  Joelle Pineau,et al.  Towards robotic assistants in nursing homes: Challenges and results , 2003, Robotics Auton. Syst..

[33]  Craig Boutilier,et al.  A POMDP formulation of preference elicitation problems , 2002, AAAI/IAAI.

[34]  Joelle Pineau,et al.  High-level robot behavior control using POMDPs , 2002 .

[35]  Bernhard Nebel,et al.  The FF Planning System: Fast Plan Generation Through Heuristic Search , 2011, J. Artif. Intell. Res..

[36]  Robin R. Murphy,et al.  Low-order-complexity vision-based docking , 2001, IEEE Trans. Robotics Autom..

[37]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[38]  Sabine Moisan,et al.  What can program supervision do for program reuse? , 2000, IEE Proc. Softw..

[39]  Tara A. Estlin,et al.  Automated software module reconfiguration through the use of artificial intelligence planning techniques , 2000, IEE Proc. Softw..

[40]  Illah R. Nourbakhsh,et al.  Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots , 2000, ICML.

[41]  Marinette Revenu,et al.  Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[42]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[43]  Thomas G. Dietterich.  The MAXQ Method for Hierarchical Reinforcement Learning , 1998, ICML.

[44]  Leslie Pack Kaelbling,et al.  Planning and Acting in Partially Observable Stochastic Domains , 1998, Artif. Intell..

[45]  Richard S. Sutton,et al.  Introduction to Reinforcement Learning , 1998 .

[46]  Craig A. Knoblock,et al.  PDDL-the planning domain definition language , 1998 .

[47]  Trevor Darrell.  Reinforcement Learning of Active Recognition Behaviors , 1997, NIPS 1997.

[48]  Steve A. Chien,et al.  Automating Image Processing for Scientific Data Analysis of a Large Image Database , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[49]  Leslie Pack Kaelbling,et al.  Learning Policies for Partially Observable Environments: Scaling Up , 1997, ICML.

[50]  Casimir A. Kulikowski,et al.  Composition of Image Analysis Processes Through Object-Centered Hierarchical Planning , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[51]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[52]  Sabine Moisan,et al.  Use of a real-time perception program supervisor in a driving scenario , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[53]  Horst Bunke,et al.  Vision planner for an intelligent multisensory vision system , 1994, Defense, Security, and Sensing.

[54]  Daniel S. Weld,et al.  A Probablistic Model of Action for Least-Commitment Planning with Information Gathering , 1994, UAI.

[55]  Ian Horswill,et al.  Polly: A Vision-Based Artificial Agent , 1993, AAAI.

[56]  Drew McDermott,et al.  Robot Planning , 1991, AI Mag..

[57]  Allen Newell,et al.  SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..

[58]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[59]  Nils J. Nilsson,et al.  Shakey the Robot , 1984 .

[60]  David G. Stork,et al.  Pattern Classification , 1973 .