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ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
15 years 4 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry
AAAI
2011
13 years 11 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
RAS
2006
111views more  RAS 2006»
14 years 11 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
BMCBI
2008
114views more  BMCBI 2008»
14 years 11 months ago
Dinucleotide controlled null models for comparative RNA gene prediction
Background: Comparative prediction of RNA structures can be used to identify functional noncoding RNAs in genomic screens. It was shown recently by Babak et al. [BMC Bioinformatic...
Tanja Gesell, Stefan Washietl
IROS
2008
IEEE
101views Robotics» more  IROS 2008»
15 years 6 months ago
Spatial macroscopic models of a bio-inspired robotic swarm algorithm
— We present a comparative study of two spatially resolved macroscopic models of an autonomous robotic swarm. In previous experiments, the collective behavior of 15 autonomous sw...
Heiko Hamann, Heinz Wörn, Karl Crailsheim, Th...