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CIMCA
2005
IEEE
15 years 5 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
99
Voted
ECAL
2003
Springer
15 years 4 months ago
Evolving Fractal Gene Regulatory Networks for Robot Control
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
Peter J. Bentley
AMAI
2008
Springer
14 years 11 months ago
Distributed boundary coverage with a team of networked miniature robots using a robust market-based algorithm
We study distributed boundary coverage of known environments using a team of miniature robots. Distributed boundary coverage is an instance of the multi-robot task-allocation prob...
Patrick Amstutz, Nikolaus Correll, Alcherio Martin...
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
15 years 5 months ago
Probabilistic Speaker Localization in Noisy Environments by Audio-Visual Integration
Abstract - In this paper, we have developed not only a probabilistic sound localization system including VAD (Voice Activity Detection) component using three microphones but also a...
JongSuk Choi, Munsang Kim, Hyun-Don Kim
CIMCA
2005
IEEE
15 years 5 months ago
Learning to feel the physics of a body
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
Ralf Der, Frank Hesse, Georg Martius