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» Robot introspection through learned hidden Markov models
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ATAL
2007
Springer
14 years 1 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
ICRA
1998
IEEE
141views Robotics» more  ICRA 1998»
13 years 11 months ago
On Discontinuous Human Control Strategies
Models of human control strategy (HCS), which accurately emulate dynamic human behavior, have far reaching potential in areas ranging from robotics to virtual reality to the intel...
Michael C. Nechyba, Yangsheng Xu
CDC
2008
IEEE
14 years 2 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
IJCAI
2003
13 years 9 months ago
A Learning-Based Jam Session System that Imitates a Player's Personality Model
This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. P...
Masatoshi Hamanaka, Masataka Goto, Hideki Asoh, No...
FSR
2003
Springer
123views Robotics» more  FSR 2003»
14 years 23 days ago
Learning Predictions of the Load-Bearing Surface for Autonomous Rough-Terrain Navigation in Vegetation
Current methods for off-road navigation using vehicle and terrain models to predict future vehicle response are limited by the accuracy of the models they use and can suffer if th...
Carl Wellington, Anthony Stentz