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» Cooperative information fusion in a network robot system
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IROS
2007
IEEE
132views Robotics» more  IROS 2007»
14 years 3 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
IJCV
2007
134views more  IJCV 2007»
13 years 8 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
BMCBI
2004
174views more  BMCBI 2004»
13 years 8 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
DEBS
2007
ACM
14 years 19 days ago
A system for semantic data fusion in sensor networks
Emerging sensor network technologies are expected to substantially augment applications such as environmental monitoring, health-care, and home/commercial automation. However, muc...
Alex Wun, Milenko Petrovic, Hans-Arno Jacobsen
ICRA
2002
IEEE
132views Robotics» more  ICRA 2002»
14 years 1 months ago
Visually Built Task Models for Robot Teams in Unstructured Environments
In field environments it is not usually possible to provide robotic systems with valid geometric models of the task and environment. The robot or robot teams will need to create t...
Vivek A. Sujan, Steven Dubowsky