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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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AAAI
2010
14 years 11 months ago
Towards Multiagent Meta-level Control
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
Shanjun Cheng, Anita Raja, Victor R. Lesser
AGENTS
1997
Springer
15 years 1 months ago
High-Level Planning and Low-Level Execution: Towards a Complete Robotic Agent
We have been developing Rogue, an architecture that integrates high-level planning with a low-level executing robotic agent. Rogue is designed as the oce gofer task planner for X...
Karen Zita Haigh, Manuela M. Veloso
TVLSI
2002
97views more  TVLSI 2002»
14 years 9 months ago
Techniques for energy-efficient communication pipeline design
The performance of many modern computer and communication systems is dictated by the latency of communication pipelines. At the same time, power/energy consumption is often another...
Gang Qu, Miodrag Potkonjak
114
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CONNECTION
2006
172views more  CONNECTION 2006»
14 years 9 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
EXPERT
2010
145views more  EXPERT 2010»
14 years 7 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni