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» Managing Complexity in Large Learning Robotic Systems
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SIGDIAL
2010
13 years 5 months ago
Dialogue Act Modeling in a Complex Task-Oriented Domain
Classifying the dialogue act of a user utterance is a key functionality of a dialogue management system. This paper presents a data-driven dialogue act classifier that is learned ...
Kristy Elizabeth Boyer, Eun Y. Ha, Robert Phillips...
ATAL
2004
Springer
14 years 1 months ago
Accurate and Flexible Simulation for Dynamic, Vision-Centric Robot
As robots become more complex by incorporating dynamic stability or greater mechanical degrees of freedom, the difficulty of developing control algorithms directly on the robot in...
Jared Go, Brett Browning, Manuela M. Veloso
ICML
2009
IEEE
14 years 8 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
ICML
1998
IEEE
14 years 8 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
ICAS
2009
IEEE
126views Robotics» more  ICAS 2009»
14 years 2 months ago
Self-Adaptive Techniques for the Load Trend Evaluation of Internal System Resources
Modern distributed systems that have to avoid performance degradation and system overload require several runtime management decisions for load balancing and load sharing, overloa...
Sara Casolari, Michele Colajanni, Stefania Tosi