Crabbe, Frederick - Computer Science Department, United States Naval Academy

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Crabbe, Frederick - Computer Science Department, United States Naval Academy

Consideration of Compromise Candidates in Action Frederick L. Crabbe
U.S.N.A. ---Trident Scholar project report; no. (2003) DEVELOPMENT OF AN URBAN SEARCH AND RESCUE ROBOT
Goal Directed Adaptive Behavior in SecondOrder Neural Networks: Leaning and Evolving in the MAXSON architecture
Multiple Goal Q-Learning: Issues and Functions Frederick L. Crabbe
SelfOrganizing Networks relate Phonetic and Articulatory Speech Data
00189162/96/$5.00 1996 IEEE July 1996 peechActs is a prototype testbed for developing spoken natural
On Compromise Strategies for Action Selection with Proscriptive goals Frederick Crabbe
Compromise Strategies for Action Selection: Supplementary Material
Compromise Strategies for Action Selection Frederick L. Crabbe
Compromise Strategies for Action Selection Frederick L. Crabbe
Compromise Strategies for Action Selection Frederick L. Crabbe
Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction
Continued fractions and Parallel SQUFOF S. McMath, F. Crabbe, D. Joyner
SecondOrder Networks for WallBuilding Agents Frederick L. Crabbe Michael G. Dyer
Unifying Artificial Intelligence Robotics: An Undergraduate Textbook
0-7803-8281-1/04/$20.00 2004 IEEE On the Development of a Novel Urban Search and Rescue Robot
U.S. NAVAL ACADEMY COMPUTER SCIENCE DEPARTMENT
U.S.N.A. --Trident Scholar project report; no. 295 (2002) Acquisition of 3-D Map Structures for Mobile Robots
Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels
0018-9162/96/$5.00 1996 IEEE July 1996 33 peechActs is a prototype testbed for developing spoken natural
The Snackbot: Documenting the Design of a Robot for Long-term Human-Robot Interaction
Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels
Vicarious learning in mobile neurally controlled agents: The VMAXSON architecture. \Lambda
Optimal and Non-Optimal Compromise Strategies in Action Selection
Representing a 3-D Environment with a 2-D Map Structure Edward H.L. Fong William Adams Frederick Crabbe Alan C. Schultz
Goal Directed Adaptive Behavior in Second-Order Neural Networks: The MAXSON family of architectures
On Learning to Select Actions in Multiple Goal Scenarios Frederick L. Crabbe
Compromise Candidates in Positive Goal Scenarios Frederick L. Crabbe
Design of a Low-Cost, Highly Mobile Urban Search and Rescue Robot Bradley E. Bishop*
Efficiently finding (nearly) minimal FST of repetitive unsegmented demonstration data