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Manuela M. Veloso: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jim Blythe, Manuela M. Veloso
    Analogical Replay for Efficient Conditional Planning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:668-673 [Conf]
  2. Brett Browning, Ling Xu, Manuela M. Veloso
    Skill Acquisition and Use for a Dynamically-Balancing Soccer Robot. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:599-604 [Conf]
  3. Rune M. Jensen, Randal E. Bryant, Manuela M. Veloso
    SetA*: An Efficient BDD-Based Heuristic Search Algorithm. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:668-673 [Conf]
  4. Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. Smith, Jean Oh
    CMRadar: A Personal Assistant Agent for Calendar Management. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:1020-1021 [Conf]
  5. Patrick Riley, Manuela M. Veloso
    Behavior Acquisition and Classification: A Case Study in Robotic Soccer. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1092- [Conf]
  6. Patrick Riley, Manuela M. Veloso
    Advice Generation from Observed Execution: Abstract Markov Decision Process Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:631-637 [Conf]
  7. Paul E. Rybski, Fernando De la Torre, Raju Patil, Carlos Vallespí, Manuela M. Veloso, Brett Browning
    CAMEO: Modeling Human Activity in Formal Meeting Situations. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:1032-1033 [Conf]
  8. Bryan Singer, Manuela M. Veloso
    Learning State Features from Policies to Bias Exploration in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:981- [Conf]
  9. Yury V. Smirnov, Sven Koenig, Manuela M. Veloso, Reid G. Simmons
    Efficient Goal-Directed Exploration. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:292-297 [Conf]
  10. Peter Stone, Patrick Riley, Manuela M. Veloso
    Defining and Using Ideal Teammate and Opponent Agent Models. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1040-1045 [Conf]
  11. William T. B. Uther, Manuela M. Veloso
    Tree Based Discretization for Continuous State Space Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:769-774 [Conf]
  12. Manuela M. Veloso
    Flexible Strategy Learning: Analogical Replay of Problem Solving Episodes. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:595-600 [Conf]
  13. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    CMUnited-98: A Team of Robotic Soccer Agents. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:891-896 [Conf]
  14. Manuela M. Veloso, Alice M. Mulvehill, Michael T. Cox
    Rationale-Supported Mixed-Initiative Case-Based Planning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:1072-1077 [Conf]
  15. Elly Winner, Manuela M. Veloso
    Multi-Fidelity Robotic Behaviors: Acting with Variable State Information. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:872-877 [Conf]
  16. William T. B. Uther, Manuela M. Veloso
    TTree: Tree-Based State Generalization with Temporally Abstract Actions. [Citation Graph (0, 0)][DBLP]
    Adaptive Agents and Multi-Agents Systems, 2002, pp:260-290 [Conf]
  17. Tucker R. Balch, Zia Khan, Manuela M. Veloso
    Automatically tracking and analyzing the behavior of live insect colonies. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:521-528 [Conf]
  18. Karen Zita Haigh, Manuela M. Veloso
    High-Level Planning and Low-Level Execution: Towards a Complete Robotic Agent. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:363-370 [Conf]
  19. Karen Zita Haigh, Manuela M. Veloso
    Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:231-238 [Conf]
  20. Scott Lenser, James Bruce, Manuela M. Veloso
    CMPack: a complete software system for autonomous legged soccer robots. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:204-211 [Conf]
  21. Patrick Riley, Manuela M. Veloso
    Coaching a simulated soccer team by opponent model recognition. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:155-156 [Conf]
  22. Peter Stone, Patrick Riley, Manuela M. Veloso
    Layered disclosure: why is the agent doing what it's doing? [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:225-226 [Conf]
  23. Peter Stone, Manuela M. Veloso
    Using Decision Tree Confidence Factors for Multi-Agent Control. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:86-91 [Conf]
  24. Peter Stone, Manuela M. Veloso
    Team-Partitioned, Opaque-Transition Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Agents, 1999, pp:206-212 [Conf]
  25. Manuela M. Veloso, Tucker R. Balch, Scott Lenser
    Integrating information, planning, and execution monitoring agents. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:132-133 [Conf]
  26. Manuela M. Veloso, Peter Stone, Sorin Achim
    A Layered Approach for an Autonomous Robotic Soccer System. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:530-531 [Conf]
  27. Manuela M. Veloso, Peter Stone, Kwun Han
    The CMUnited-97 Robotic Socccer Team: Perception and Multiagent Control. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:78-85 [Conf]
  28. Michael H. Bowling, Brett Browning, Manuela M. Veloso
    Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2004, pp:376-383 [Conf]
  29. Karen Zita Haigh, Manuela M. Veloso
    Planning, Execution and Learning in a Robotic Agent. [Citation Graph (0, 0)][DBLP]
    AIPS, 1998, pp:120-127 [Conf]
  30. Rune M. Jensen, Manuela M. Veloso
    OBDD-Based Universal Planning for Multiple Synchronized Agents in Non-Deterministic Domains. [Citation Graph (0, 0)][DBLP]
    AIPS, 2000, pp:167-176 [Conf]
  31. Rune M. Jensen, Manuela M. Veloso, Randal E. Bryant
    Guided Symbolic Universal Planning. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2003, pp:123-132 [Conf]
  32. Rune M. Jensen, Manuela M. Veloso, Randal E. Bryant
    Fault Tolerant Planning: Toward Probabilistic Uncertainty Models in Symbolic Non-Deterministic Planning. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2004, pp:335-344 [Conf]
  33. Patrick Riley, Manuela M. Veloso
    Planning for Distributed Execution through Use of Probabilistic Opponent Models. [Citation Graph (0, 0)][DBLP]
    AIPS, 2002, pp:72-82 [Conf]
  34. Peter Stone, Manuela M. Veloso, Jim Blythe
    The Need for Different Domain-independent Heuristics. [Citation Graph (0, 0)][DBLP]
    AIPS, 1994, pp:164-169 [Conf]
  35. Manuela M. Veloso, Jim Blythe
    Linkability: Examining Causal Link Commitments in Partial-order Planning. [Citation Graph (0, 0)][DBLP]
    AIPS, 1994, pp:170-175 [Conf]
  36. Manuela M. Veloso, Martha E. Pollack, Michael T. Cox
    Rationale-Based Monitoring for Planning in Dynamic Environments. [Citation Graph (0, 0)][DBLP]
    AIPS, 1998, pp:171-180 [Conf]
  37. Manuela M. Veloso, Elly Winner, Scott Lenser, James Bruce, Tucker R. Balch
    Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot. [Citation Graph (0, 0)][DBLP]
    AIPS, 2000, pp:387-394 [Conf]
  38. Elly Winner, Manuela M. Veloso
    Analyzing Plans with Conditional Effects. [Citation Graph (0, 0)][DBLP]
    AIPS, 2002, pp:23-33 [Conf]
  39. Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. Smith, Jean Oh
    CMRadar: A Personal Assistant Agent for Calendar Management. [Citation Graph (0, 0)][DBLP]
    AOIS, 2004, pp:169-181 [Conf]
  40. Yang Gu, Manuela M. Veloso
    Multi-model motion tracking under multiple team member actuators. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:449-456 [Conf]
  41. Thuc Vu, Manuela M. Veloso
    High-Level Behavior Programming. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1384-1385 [Conf]
  42. Fernando Fernández, Manuela M. Veloso
    Probabilistic policy reuse in a reinforcement learning agent. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:720-727 [Conf]
  43. Jared Go, Brett Browning, Manuela M. Veloso
    Accurate and Flexible Simulation for Dynamic, Vision-Centric Robot. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1388-1389 [Conf]
  44. Pragnesh Jay Modi, Manuela M. Veloso
    Bumping strategies for the multiagent agreement problem. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:390-396 [Conf]
  45. Patrick Riley, Peter Stone, Manuela M. Veloso
    Layered Disclosure: Revealing Agents' Internals. [Citation Graph (0, 0)][DBLP]
    ATAL, 2000, pp:61-72 [Conf]
  46. Patrick Riley, Manuela M. Veloso
    An overview of coaching with limitations. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:1110-1111 [Conf]
  47. Patrick Riley, Manuela M. Veloso, Gal A. Kaminka
    Towards any-team coaching in adversarial domains. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:1145-1146 [Conf]
  48. Maayan Roth, Reid G. Simmons, Manuela M. Veloso
    Reasoning about joint beliefs for execution-time communication decisions. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:786-793 [Conf]
  49. Peter Stone, Manuela M. Veloso
    Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork. [Citation Graph (0, 0)][DBLP]
    ATAL, 1998, pp:293-308 [Conf]
  50. Thuc Vu, Jared Go, Gal A. Kaminka, Manuela M. Veloso, Brett Browning
    MONAD: a flexible architecture for multi-agent control. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:449-456 [Conf]
  51. Peter Stone, Manuela M. Veloso
    Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication. [Citation Graph (0, 0)][DBLP]
    CRW, 1998, pp:85-97 [Conf]
  52. Patrick Riley, Manuela M. Veloso
    On Behavior Classification in Adversarial Environments. [Citation Graph (0, 0)][DBLP]
    DARS, 2000, pp:371-380 [Conf]
  53. Daniel Borrajo, Manuela M. Veloso
    Incremental Learning of Control Knowledge for Nonlinear Problem Solving. [Citation Graph (0, 0)][DBLP]
    ECML, 1994, pp:64-82 [Conf]
  54. Peter Stone, Manuela M. Veloso
    Layered Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2000, pp:369-381 [Conf]
  55. Manuela M. Veloso, Jaime G. Carbonell
    Learning by Analogical Replay in PRODIGY: First Results. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:375-390 [Conf]
  56. Michael T. Cox, Manuela M. Veloso
    Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting. [Citation Graph (0, 0)][DBLP]
    EPIA, 1997, pp:309-318 [Conf]
  57. Elisabeth Crawford, Manuela M. Veloso
    Learning to Select Negotiation Strategies in Multi-agent Meeting Scheduling. [Citation Graph (0, 0)][DBLP]
    EPIA, 2005, pp:584-595 [Conf]
  58. Sonia Chernova, Elisabeth Crawford, Manuela M. Veloso
    Acquiring Observation Models Through Reverse Plan Monitoring. [Citation Graph (0, 0)][DBLP]
    EPIA, 2005, pp:410-421 [Conf]
  59. Paul E. Rybski, Manuela M. Veloso
    Robust Real-Time Human Activity Recognition from Tracked Face Displacements. [Citation Graph (0, 0)][DBLP]
    EPIA, 2005, pp:87-98 [Conf]
  60. Yury V. Smirnov, Manuela M. Veloso
    GenSAT: A Navigational Approach. [Citation Graph (0, 0)][DBLP]
    EPIA, 1997, pp:85-96 [Conf]
  61. Astro Teller, Manuela M. Veloso
    A Contolled Experiment: Evolution for Learning Difficult Image Classification. [Citation Graph (0, 0)][DBLP]
    EPIA, 1995, pp:165-176 [Conf]
  62. Manuela M. Veloso
    Prodigy/Analogy: Analogical Reasoning in General Problem Solving. [Citation Graph (0, 0)][DBLP]
    EWCBR, 1993, pp:33-52 [Conf]
  63. Raquel Ros, Manuela M. Veloso, Ramon López de Mántaras, Carles Sierra, Josep Lluís Arcos
    Retrieving and Reusing Game Plays for Robot Soccer. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2006, pp:47-61 [Conf]
  64. Elisabeth Crawford, Manuela M. Veloso
    Mechanism Design for Multi-Agent Meeting Scheduling Including Time Preferences, Availability, and Value of Presence. [Citation Graph (0, 0)][DBLP]
    IAT, 2004, pp:253-259 [Conf]
  65. Elisabeth Crawford, Manuela M. Veloso
    Learning Dynamic Preferences in Multi-Agent Meeting Scheduling. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:487-490 [Conf]
  66. Markus Püschel, Bryan Singer, Manuela M. Veloso, José M. F. Moura
    Fast Automatic Generation of DSP Algorithms. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2001, pp:97-106 [Conf]
  67. Karen Zita Haigh, Manuela M. Veloso
    Route Planning by Analogy. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1995, pp:169-180 [Conf]
  68. Michael T. Cox, Manuela M. Veloso
    Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1997, pp:531-540 [Conf]
  69. Ralph Bergmann, Hector Muñoz-Avila, Manuela M. Veloso, Erica Melis
    CBR Applied to Planning. [Citation Graph (0, 0)][DBLP]
    Case-Based Reasoning Technology, 1998, pp:169-200 [Conf]
  70. Manuela M. Veloso
    Merge Strategies for Multiple Case Plan Replay. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1997, pp:413-424 [Conf]
  71. Manuela M. Veloso, Peter Stone
    Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents. [Citation Graph (0, 0)][DBLP]
    ICMAS, 1998, pp:309-316 [Conf]
  72. Peter Stone, Patrick Riley, Manuela M. Veloso
    Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer. [Citation Graph (0, 0)][DBLP]
    ICMAS, 2000, pp:441-442 [Conf]
  73. Paul E. Rybski, Satanjeev Banerjee, Fernando De la Torre, Carlos Vallespí, Alexander I. Rudnicky, Manuela M. Veloso
    Segmentation and classification of meetings using multiple information streams. [Citation Graph (0, 0)][DBLP]
    ICMI, 2004, pp:335-336 [Conf]
  74. Michael H. Bowling, Manuela M. Veloso
    Convergence of Gradient Dynamics with a Variable Learning Rate. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:27-34 [Conf]
  75. Bryan Singer, Manuela M. Veloso
    Learning to Predict Performance from Formula Modeling and Training Data. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:887-894 [Conf]
  76. Bryan Singer, Manuela M. Veloso
    Learning to Generate Fast Signal Processing Implementations. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:529-536 [Conf]
  77. Astro Teller, Manuela M. Veloso
    Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:959-966 [Conf]
  78. Elly Winner, Manuela M. Veloso
    DISTILL: Learning Domain-Specific Planners by Example. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:800-807 [Conf]
  79. Minoru Asada, Raffaello D'Andrea, Andreas Birk 0002, Hiroaki Kitano, Manuela M. Veloso
    Robotics in Edutainment. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:795-800 [Conf]
  80. Brett Browning, Michael H. Bowling, Manuela M. Veloso
    Improbability Filtering for Rejecting False Positives. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:3038-3043 [Conf]
  81. James Bruce, Michael H. Bowling, Brett Browning, Manuela M. Veloso
    Multi-robot team response to a multi-robot opponent team. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:2281-2286 [Conf]
  82. James Bruce, Manuela M. Veloso
    Fast and accurate vision-based pattern detection and identification. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:1277-1282 [Conf]
  83. Kwun Han, Manuela M. Veloso
    Reactive Visual Control of Multiple Non-Holonomic Robotic Agents. [Citation Graph (0, 0)][DBLP]
    ICRA, 1998, pp:3510-3515 [Conf]
  84. Scott Lenser, Manuela M. Veloso
    Sensor Resetting Localization for Poorly Modelled Mobile Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:1225-1232 [Conf]
  85. Scott Lenser, Manuela M. Veloso
    Automatic detection and response to environmental change. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:1416-1421 [Conf]
  86. Manuela M. Veloso, Daniel Borrajo
    Learning Strategy Knowledge Incrementally. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1994, pp:484-490 [Conf]
  87. Michael H. Bowling, Rune M. Jensen, Manuela M. Veloso
    A Formalization of Equilibria for Multiagent Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1460-1462 [Conf]
  88. Michael H. Bowling, Manuela M. Veloso
    Rational and Convergent Learning in Stochastic Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:1021-1026 [Conf]
  89. Michael H. Bowling, Manuela M. Veloso
    Simultaneous Adversarial Multi-Robot Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:699-704 [Conf]
  90. Michael H. Bowling, Manuela M. Veloso
    Bounding the Suboptimality of Reusing Subproblem. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1340-1347 [Conf]
  91. Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
    The RoboCup Synthetic Agent Challenge 97. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:24-30 [Conf]
  92. Minoru Asada, Andreas Birk 0002, Enrico Pagello, Masahiro Fujita, Itsuki Noda, Satoshi Tadokoro, Dominique Duhaut, Peter Stone, Manuela M. Veloso, Tucker R. Balch, Hiroaki Kitano, Brian Thomas
    Progress in RoboCup Soccer Research in 2000. [Citation Graph (0, 0)][DBLP]
    ISER, 2000, pp:363-372 [Conf]
  93. Minoru Asada, Manuela M. Veloso, Gerhard K. Kraetzschmar, Hiroaki Kitano
    A Review of Robot World Cup Soccer Research Issues RoboCup: Today and Tomorrow. [Citation Graph (0, 0)][DBLP]
    ISER, 1999, pp:369-378 [Conf]
  94. Yury V. Smirnov, Manuela M. Veloso
    Efficiency Competition through Representation Changes: Pigeonhole Principle vs. Integer Programming Methods. [Citation Graph (0, 0)][DBLP]
    KR, 1996, pp:124-134 [Conf]
  95. Peter Stone, Manuela M. Veloso
    Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:896-902 [Conf]
  96. William T. B. Uther, Manuela M. Veloso
    The Lumberjack Algorithm for Learning Linked Decision Forests. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:156-166 [Conf]
  97. Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso
    Plays as Team Plans for Coordination and Adaptation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:686-693 [Conf]
  98. Michael H. Bowling, Manuela M. Veloso
    Motion Control in Dynamic Multi-Robot Environments. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:222-230 [Conf]
  99. Brett Browning, Michael H. Bowling, James Bruce, Ravi Balasubramanian, Manuela M. Veloso
    CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:567-570 [Conf]
  100. James Bruce, Scott Lenser, Manuela M. Veloso
    Fast Parametric Transitions for Smooth Quadrupedal Motion. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:293-298 [Conf]
  101. James Bruce, Manuela M. Veloso
    Real-Time Randomized Path Planning for Robot Navigation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:288-295 [Conf]
  102. Minoru Asada, Peter Stone, Hiroaki Kitano, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
    The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:42-61 [Conf]
  103. Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar
    Overview of RoboCup-98. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:1-21 [Conf]
  104. Hans-Dieter Burkhard, Minoru Asada, Andrea Bonarini, Adam Jacoff, Daniele Nardi, Martin Riedmiller, Claude Sammut, Elizabeth Sklar, Manuela M. Veloso
    RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:15-34 [Conf]
  105. Paul Carpenter, Patrick Riley, Gal A. Kaminka, Manuela M. Veloso, Ignacio Thayer, Robert Wang
    ChaMeleons-01 Team Description. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:503-506 [Conf]
  106. Paul Carpenter, Patrick Riley, Manuela M. Veloso, Gal A. Kaminka
    Integration of Advice in an Action-Selection Architecture. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:195-205 [Conf]
  107. John Davin, Patrick Riley, Manuela M. Veloso
    CommLang: Communication for Coachable Agents. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:46-59 [Conf]
  108. Gal A. Kaminka, Mehmet Fidanboylu, Allen Chang, Manuela M. Veloso
    Learning the Sequential Coordinated Behavior of Teams from Observations. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:111-125 [Conf]
  109. Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
    The RoboCup Synthetic Agent Challenge 97. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:62-73 [Conf]
  110. Scott Lenser, James Bruce, Manuela M. Veloso
    CMPack '00. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:623-626 [Conf]
  111. Scott Lenser, James Bruce, Manuela M. Veloso
    A Modular Hierarchical Behavior-Based Architecture. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:423-428 [Conf]
  112. Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso
    ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:489-492 [Conf]
  113. Patrick Riley, Manuela M. Veloso
    Recognizing Probabilistic Opponent Movement Models. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:453-458 [Conf]
  114. Patrick Riley, Manuela M. Veloso
    Coaching Advice and Adaptation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:192-204 [Conf]
  115. Jeremy Searock, Brett Browning, Manuela M. Veloso
    Turning Segways into Robust Human-Scale Dynamically Balanced Soccer Robots. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:60-71 [Conf]
  116. Peter Stone, Patrick Riley, Manuela M. Veloso
    The CMUnited-99 Champion Simulator Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:35-48 [Conf]
  117. Peter Stone, Manuela M. Veloso
    Using Decision Tree Confidence Factors for Multiagent Control. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:99-111 [Conf]
  118. Peter Stone, Manuela M. Veloso
    The CMUnited-97 Simulator Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:389-397 [Conf]
  119. Peter Stone, Manuela M. Veloso
    Team-Partitioned, Opaque-Transition Reinforced Learning. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:261-272 [Conf]
  120. Peter Stone, Manuela M. Veloso
    Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:495-508 [Conf]
  121. Peter Stone, Manuela M. Veloso, Patrick Riley
    The CMUnited-98 Champion Simulator Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:61-76 [Conf]
  122. William T. B. Uther, Scott Lenser, James Bruce, Martin Hock, Manuela M. Veloso
    CM-Pack'01: Fast Legged Robot Walking, Robust Localization, and Team Behaviors. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:693-696 [Conf]
  123. Manuela M. Veloso, Michael H. Bowling, Sorin Achim
    CMUnited-99: Small-Size Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:661-662 [Conf]
  124. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    The CMUnited-98 Small-Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:77-92 [Conf]
  125. Manuela M. Veloso, Hiroaki Kitano, Enrico Pagello, Gerhard K. Kraetzschmar, Peter Stone, Tucker R. Balch, Minoru Asada, Silvia Coradeschi, Lars Karlsson, Masahiro Fujita
    Overview of RoboCup-99. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:1-34 [Conf]
  126. Manuela M. Veloso, Scott Lenser, Elly Winner, James Bruce
    CM-Trio-99. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:766-769 [Conf]
  127. Manuela M. Veloso, Peter Stone, Kwun Han, Sorin Achim
    The CMUnited-97 Small Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:242-256 [Conf]
  128. Manuela M. Veloso, William T. B. Uther
    The CMTrio-98 Sony-Legged Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:491-497 [Conf]
  129. William T. B. Uther, Manuela M. Veloso
    The Lumberjack Algorithm for Learning Linked Decision Forests. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:219-232 [Conf]
  130. William T. B. Uther, Manuela M. Veloso
    TTree: Tree-Based State Generalization with Temporally Abstract Actions. [Citation Graph (0, 0)][DBLP]
    SARA, 2002, pp:308-315 [Conf]
  131. Bryan Singer, Manuela M. Veloso
    Stochastic search for signal processing algorithm optimization. [Citation Graph (0, 0)][DBLP]
    SC, 2001, pp:22- [Conf]
  132. Yang Gu, Manuela M. Veloso
    Effective team-driven multi-model motion tracking. [Citation Graph (0, 0)][DBLP]
    HRI, 2006, pp:210-217 [Conf]
  133. Manuela M. Veloso, Paul E. Rybski, Felix von Hundelshausen
    FOCUS: a generalized method for object discovery for robots that observe and interact with humans. [Citation Graph (0, 0)][DBLP]
    HRI, 2006, pp:102-109 [Conf]
  134. Paul E. Rybski, Kevin Yoon, Jeremy Stolarz, Manuela M. Veloso
    Interactive robot task training through dialog and demonstration. [Citation Graph (0, 0)][DBLP]
    HRI, 2007, pp:49-56 [Conf]
  135. Brenna Argall, Brett Browning, Manuela M. Veloso
    Learning by demonstration with critique from a human teacher. [Citation Graph (0, 0)][DBLP]
    HRI, 2007, pp:57-64 [Conf]
  136. Brenna Argall, Yang Gu, Brett Browning, Manuela M. Veloso
    The first segway soccer experience: towards peer-to-peer human-robot teams. [Citation Graph (0, 0)][DBLP]
    HRI, 2006, pp:321-322 [Conf]
  137. Minoru Asada, Peter Stone, Hiroaki Kitano, Barry Brian Werger, Yasuo Kuniyoshi, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
    The Robocup Physical Agent Challenge: Phase I. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:2-3, pp:251-263 [Journal]
  138. Paola Rizzo, Manuela M. Veloso, Maria Miceli, Amedeo Cesta
    Goal-Based Personalities and Social Behaviors in Believable Agents. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1999, v:13, n:3, pp:239-271 [Journal]
  139. Peter Stone, Manuela M. Veloso
    Layered Approach to Learning Client Behaviors in the Robocup Soccer Server. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:2-3, pp:165-188 [Journal]
  140. Patrick Riley, Manuela M. Veloso
    Coach planning with opponent models for distributed execution. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2006, v:13, n:3, pp:293-325 [Journal]
  141. Minoru Asada, Hiroaki Kitano, Itsuki Noda, Manuela M. Veloso
    RoboCup: Today and Tomorrow - What we have learned. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1999, v:110, n:2, pp:193-214 [Journal]
  142. Michael H. Bowling, Manuela M. Veloso
    Multiagent learning using a variable learning rate. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:136, n:2, pp:215-250 [Journal]
  143. Peter Stone, Manuela M. Veloso
    Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1999, v:110, n:2, pp:241-273 [Journal]
  144. Astro Teller, Manuela M. Veloso
    Internal reinforcement in a connectionist genetic programming approach. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:120, n:2, pp:165-198 [Journal]
  145. Manuela M. Veloso, Hector Muñoz-Avila, Ralph Bergmann
    Case-Based Planning: Selected Methods and Systems. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1996, v:9, n:3, pp:128-137 [Journal]
  146. Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar
    Overview of RoboCup-98. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:9-19 [Journal]
  147. Masahiro Fujita, Manuela M. Veloso, William T. B. Uther, Minoru Asada, Hiroaki Kitano, Vincent Hugel, Patrick Bonnin, Jean-Christophe Bouramoué, Pierre Blazevic
    Vision, Strategy, and Localization Using the Sony Robots at . [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:47-56 [Journal]
  148. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:29-36 [Journal]
  149. Manuela M. Veloso, Subbarao Kambhampati
    The Twentieth National Conference on Artificial Intelligence. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:4, pp:100-101 [Journal]
  150. Manuela M. Veloso, Paul E. Rybski, Scott Lenser, Sonia Chernova, Douglas Vail
    CMRoboBits: Creating an Intelligent AIBO Robot. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2006, v:27, n:1, pp:67-82 [Journal]
  151. Manuela M. Veloso, Peter Stone, Kwun Han
    CMUNITED-97: RoboCup-97 Small-Robot World Champion Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1998, v:19, n:3, pp:61-69 [Journal]
  152. Peter Stone, Patrick Riley, Manuela M. Veloso
    The CMUnited-99 Champion Simulator Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:3, pp:33-40 [Journal]
  153. Peter Stone, Manuela M. Veloso, Patrick Riley
    CMUNITED-98 Simulator Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:20-28 [Journal]
  154. Manuela M. Veloso, Tucker R. Balch, Peter Stone, Hiroaki Kitano, Fuminori Yamasaki, Ken Endo, Minoru Asada, Mansour Jamzad, Sayyed Bashir Sadjad, Vahab S. Mirrokni, Moslem Kazemi, Hamid Reza Chitsaz, Abbas Heydarnoori, Mohammad Taghi Hajiaghayi, Ehsan Chiniforooshan
    RoboCup-2001: The Fifth Robotic Soccer World Championships. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:1, pp:55-68 [Journal]
  155. Daniel Borrajo, Manuela M. Veloso
    Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:371-405 [Journal]
  156. Karen Zita Haigh, Manuela M. Veloso
    Interleaving Planning and Robot Execution for Asynchronous User Requests. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 1998, v:5, n:1, pp:79-95 [Journal]
  157. Peter Stone, Manuela M. Veloso
    Multiagent Systems: A Survey from a Machine Learning Perspective. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2000, v:8, n:3, pp:345-383 [Journal]
  158. Gal A. Kaminka, Manuela M. Veloso, Steve Schaffer, Chris Sollitto, Rogelio Adobbati, Andrew N. Marshall, Andrew Scholer, Sheila Tejada
    GameBots: a flexible test bed for multiagent team research. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2002, v:45, n:1, pp:43-45 [Journal]
  159. Manuela M. Veloso
    Entertainment robotics. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2002, v:45, n:3, pp:59-63 [Journal]
  160. Peter Stone, Manuela M. Veloso
    Towards collaborative and adversarial learning: a case study in robotic soccer. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1998, v:48, n:1, pp:83-104 [Journal]
  161. Michael H. Bowling, Manuela M. Veloso
    Existence of Multiagent Equilibria with Limited Agents. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:22, n:, pp:353-384 [Journal]
  162. Rune M. Jensen, Manuela M. Veloso
    OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2000, v:13, n:, pp:189-226 [Journal]
  163. Manuela M. Veloso, Peter Stone
    FLECS: Planning with a Flexible Commitment Strategy. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:25-52 [Journal]
  164. Karen Zita Haigh, Jonathan Richard Shewchuk, Manuela M. Veloso
    Exploiting domain geometry in analogical route planning. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 1997, v:9, n:4, pp:509-541 [Journal]
  165. Bryan Singer, Manuela M. Veloso
    Learning to Construct Fast Signal Processing Implementations. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:887-919 [Journal]
  166. Ralph Bergmann, Hector Muñoz-Avila, Manuela M. Veloso
    Fallbasiertes Planen: ausgewählte Methoden und Systeme. [Citation Graph (0, 0)][DBLP]
    KI, 1996, v:10, n:1, pp:22-28 [Journal]
  167. Manuela M. Veloso, Jaime G. Carbonell
    Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:10, n:, pp:249-278 [Journal]
  168. Karen Zita Haigh, Manuela M. Veloso
    Learning situation-dependent costs: Improving planning from probabilistic robot execution. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1999, v:29, n:2-3, pp:145-174 [Journal]
  169. Manuela M. Veloso, Peter Stone, Kwun Han
    The CMUnited-97 robotic soccer team: Perception and multi-agent control. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1999, v:29, n:2-3, pp:133-143 [Journal]
  170. Jaime G. Carbonell, Oren Etzioni, Yolanda Gil, Robert Joseph, Craig A. Knoblock, Steven Minton, Manuela M. Veloso
    PRODIGY: An Integrated Architecture for Planning and Learning. [Citation Graph (0, 0)][DBLP]
    SIGART Bulletin, 1991, v:2, n:4, pp:51-55 [Journal]
  171. Reid G. Simmons, Richard Goodwin, Karen Zita Haigh, Sven Koenig, Joseph O'Sullivan, Manuela M. Veloso
    Xavier: experience with a layered robot architecture. [Citation Graph (0, 0)][DBLP]
    SIGART Bulletin, 1997, v:8, n:1-4, pp:22-33 [Journal]
  172. Elisabeth Crawford, Manuela M. Veloso
    Mechanism design for multi-agent meeting scheduling. [Citation Graph (0, 0)][DBLP]
    Web Intelligence and Agent Systems, 2006, v:4, n:2, pp:209-220 [Journal]
  173. Raquel Ros, Manuela M. Veloso, Ramon López de Mántaras, Carles Sierra, Josep Lluís Arcos
    Beyond Individualism: Modeling Team Playing Behavior in Robot Soccer through Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1671-1674 [Conf]
  174. Colin McMillen, Manuela M. Veloso
    Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1250-1255 [Conf]
  175. Manuela M. Veloso
    Learning to Select Team Strategies in Finite-Timed Zero-Sum Games. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:1- [Conf]
  176. Fernando Fernández, Manuela M. Veloso
    Reusing and Building a Policy Library. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2006, pp:378-381 [Conf]
  177. Raquel Ros, Ramon López de Mántaras, Josep Lluís Arcos, Manuela M. Veloso
    Team Playing Behavior in Robot Soccer: A Case-Based Reasoning Approach. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2007, pp:46-60 [Conf]
  178. Carlos Vallespí, Fernando De la Torre, Manuela M. Veloso, Takeo Kanade
    Automatic Clustering of Faces in Meetings. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:1841-1844 [Conf]
  179. Nicholas Armstrong-Crews, Manuela M. Veloso
    Oracular Partially Observable Markov Decision Processes: A Very Special Case. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2477-2482 [Conf]
  180. Brenna Argall, Brett Browning, Manuela M. Veloso
    Learning to Select State Machines using Expert Advice on an Autonomous Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2124-2129 [Conf]
  181. Paul E. Rybski, Fernando De la Torre, Raju Patil, Carlos Vallespí, Manuela M. Veloso, Brett Browning
    CAMEO: Camera Assisted Meeting Event Observer. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:1634-1639 [Conf]
  182. Brett Browning, Paul E. Rybski, Jeremy Searock, Manuela M. Veloso
    Development of a Soccer-playing Dynamically-balancing Mobile Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:1752-1757 [Conf]
  183. Sonia Chernova, Manuela M. Veloso
    Learning and using Models of Kicking Motions for Legged Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:4651-4655 [Conf]
  184. Scott Lenser, Manuela M. Veloso
    Non-Parametric Time Series Classification. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:3918-3923 [Conf]
  185. Fernando De la Torre, Carlos Vallespí, Paul E. Rybski, Manuela M. Veloso, Takeo Kanade
    Learning to Track Multiple People in Omnidirectional Video. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:4150-4155 [Conf]
  186. Felix von Hundelshausen, Manuela M. Veloso
    Active Monte Carlo Recognition. [Citation Graph (0, 0)][DBLP]
    KI, 2006, pp:229-243 [Conf]
  187. James Bruce, Manuela M. Veloso
    Real-Time Randomized Motion Planning for Multiple Domains. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:532-539 [Conf]
  188. Ryota Nakanishi, James Bruce, Kazuhito Murakami, Tadashi Naruse, Manuela M. Veloso
    Cooperative 3-Robot Passing and Shooting in the RoboCup Small Size League. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:418-425 [Conf]
  189. Colin McMillen, Manuela M. Veloso
    Distributed, Play-Based Coordination for Robot Teams in Dynamic Environments. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:483-490 [Conf]
  190. Elisabeth Crawford, Manuela M. Veloso
    An experts approach to strategy selection in multiagent meeting scheduling. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2007, v:15, n:1, pp:5-28 [Journal]

  191. Feature Selection for Activity Recognition in Multi-Robot Domains. [Citation Graph (, )][DBLP]


  192. Unknown Rewards in Finite-Horizon Domains. [Citation Graph (, )][DBLP]


  193. Biped Walk Learning Through Playback and Corrective Demonstration. [Citation Graph (, )][DBLP]


  194. Exploiting factored representations for decentralized execution in multiagent teams. [Citation Graph (, )][DBLP]


  195. Executing multi-robot cases through a single coordinator. [Citation Graph (, )][DBLP]


  196. Confidence-based policy learning from demonstration using Gaussian mixture models. [Citation Graph (, )][DBLP]


  197. Conditional random fields for activity recognition. [Citation Graph (, )][DBLP]


  198. Towards using multiple cues for robust object recognition. [Citation Graph (, )][DBLP]


  199. Teaching sequential tasks with repetition through demonstration. [Citation Graph (, )][DBLP]


  200. Teaching multi-robot coordination using demonstration of communication and state sharing. [Citation Graph (, )][DBLP]


  201. Efficient physics-based planning: sampling search via non-deterministic tactics and skills. [Citation Graph (, )][DBLP]


  202. Learning of coordination: exploiting sparse interactions in multiagent systems. [Citation Graph (, )][DBLP]


  203. Approximate planning for decentralized MDPs with sparse interactions. [Citation Graph (, )][DBLP]


  204. An effective personal mobile robot agent through symbiotic human-robot interaction. [Citation Graph (, )][DBLP]


  205. Mutual state capability-based role assignment model. [Citation Graph (, )][DBLP]


  206. Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies. [Citation Graph (, )][DBLP]


  207. Negotiation in Semi-cooperative Agreement Problems. [Citation Graph (, )][DBLP]


  208. Real-time Object Detection using Segmented and Grayscale Images. [Citation Graph (, )][DBLP]


  209. Dynamically formed Heterogeneous Robot Teams Performing Tightly-coordinated Tasks. [Citation Graph (, )][DBLP]


  210. Multi-model Tracking using Team Actuation Models. [Citation Graph (, )][DBLP]


  211. Learning tactic-based motion models with fast particle smoothing. [Citation Graph (, )][DBLP]


  212. An approximate algorithm for solving oracular POMDPs. [Citation Graph (, )][DBLP]


  213. CMDragons: Dynamic passing and strategy on a champion robot soccer team. [Citation Graph (, )][DBLP]


  214. Automatic weight learning for multiple data sources when learning from demonstration. [Citation Graph (, )][DBLP]


  215. WiFi localization and navigation for autonomous indoor mobile robots. [Citation Graph (, )][DBLP]


  216. RSS-based relative localization and tethering for moving robots in unknown environments. [Citation Graph (, )][DBLP]


  217. Online Selection of Mediated and Domain-Specific Predictions for Improved Recommender Systems. [Citation Graph (, )][DBLP]


  218. Robust Supporting Role in Coordinated Two-Robot Soccer Attack. [Citation Graph (, )][DBLP]


  219. Playing Creative Soccer: Randomized Behavioral Kinodynamic Planning of Robot Tactics. [Citation Graph (, )][DBLP]


  220. SSL-Vision: The Shared Vision System for the RoboCup Small Size League. [Citation Graph (, )][DBLP]


  221. Multi-thresholded approach to demonstration selection for interactive robot learning. [Citation Graph (, )][DBLP]


  222. Learning robot motion control with demonstration and advice-operators. [Citation Graph (, )][DBLP]


  223. Learning task specific plans through sound and visually interpretable demonstrations. [Citation Graph (, )][DBLP]


  224. Learning equivalent action choices from demonstration. [Citation Graph (, )][DBLP]


  225. Online ZMP sampling search for biped walking planning. [Citation Graph (, )][DBLP]


  226. Feature selection in conditional random fields for activity recognition. [Citation Graph (, )][DBLP]


  227. Simulation and weights of multiple cues for robust object recognition. [Citation Graph (, )][DBLP]


  228. Team-Driven Multi-Model Motion Tracking with Communication. [Citation Graph (, )][DBLP]


  229. Cue-based equivalence classes and incremental discrimination for multi-cue recognition of "interactionable" objects. [Citation Graph (, )][DBLP]


  230. Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering. [Citation Graph (, )][DBLP]


  231. State-set branching: Leveraging BDDs for heuristic search. [Citation Graph (, )][DBLP]


  232. A case-based approach for coordinated action selection in robot soccer. [Citation Graph (, )][DBLP]


  233. The CMUnited-98 champion small-robot team. [Citation Graph (, )][DBLP]


  234. Tactics-Based Behavioural Planning for Goal-Driven Rigid Body Control. [Citation Graph (, )][DBLP]


  235. FLECS: Planning with a Flexible Commitment Strategy [Citation Graph (, )][DBLP]


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