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» Managing Complexity in Large Learning Robotic Systems
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JIRS
2000
133views more  JIRS 2000»
13 years 6 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
ROBOCUP
2000
Springer
135views Robotics» more  ROBOCUP 2000»
13 years 10 months ago
Simulator Complex for RoboCup Rescue Simulation Project - As Test-Bed for Multi-Agent Organizational Behavior in Emergency Case
In the RoboCup Rescue Simulation Project, several kinds of simulator such as Building-Collapse and Road-Blockage Simulator, Fire Spread Simulator and Tra c Flow Simulator are expec...
Toshiyuki Kaneda, Fumitoshi Matsuno, Hironao Takah...
RAS
2010
137views more  RAS 2010»
13 years 5 months ago
Development of complex robotic systems using the behavior-based control architecture iB2C
This paper presents a development methodology for complex robotic systems using the behavior-based control architecture iB2C (integrated Behavior-Based Control). It is shown how a...
Martin Proetzsch, Tobias Luksch, Karsten Berns
ICPP
2008
IEEE
14 years 1 months ago
Dynamic Meta-Learning for Failure Prediction in Large-Scale Systems: A Case Study
Despite great efforts on the design of ultra-reliable components, the increase of system size and complexity has outpaced the improvement of component reliability. As a result, fa...
Jiexing Gu, Ziming Zheng, Zhiling Lan, John White,...
IJRR
2010
177views more  IJRR 2010»
13 years 5 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz