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DRUMS
1998
Springer
13 years 12 months ago
Handling uncertainty in control of autonomous robots
Autonomous robots need the ability to move purposefully and without human intervention in real-world environments that have not been speci cally engineered for them. These environm...
Alessandro Saffiotti
ICRA
2002
IEEE
96views Robotics» more  ICRA 2002»
14 years 16 days ago
A Suite of Tools for Debugging Distributed Autonomous Systems
This paper describes a set of tools that allows a developer to instrument an autonomous control system to log data at run-time and then analyze that data to verify correct program...
David Kortenkamp, Reid G. Simmons, Tod Milam, Joaq...
APIN
2000
155views more  APIN 2000»
13 years 7 months ago
Defeasible Logic on an Embedded Microcontroller
Defeasible logic is a system of reasoning in which rules have exceptions, and when rules conflict, the one that applies most specifically to the situation wins out. This paper repo...
Michael A. Covington
ASIAMS
2008
IEEE
14 years 2 months ago
HiNFRA: Hierarchical Neuro-Fuzzy Learning for Online Risk Assessment
Our previous research illustrated the design of fuzzy logic based online risk assessment for Distributed Intrusion Prediction and Prevention Systems (DIPPS) [3]. Based on the DIPP...
Kjetil Haslum, Ajith Abraham, Svein J. Knapskog
ARTCOM
2009
IEEE
14 years 2 months ago
ANFIS Approach for Navigation of Mobile Robots
— This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy inference system (ANFIS) in a real word dynamic environment. In the ANFIS controller a...
Mukesh Kumar Singh, Dayal R. Parhi, Jayanta Kumar ...