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AI
1999
Springer
13 years 9 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
NN
1998
Springer
151views Neural Networks» more  NN 1998»
13 years 9 months ago
Evolutionary neurocontrollers for autonomous mobile robots
In this article we describe a methodology for evolving neurocontrollers of autonomous mobile robots without human intervention. The presentation, which spans from technological an...
Dario Floreano, Francesco Mondada
IDEAL
2009
Springer
14 years 2 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
ICRA
2010
IEEE
119views Robotics» more  ICRA 2010»
13 years 8 months ago
Recognition of situation classes at road intersections
— The recognition and prediction of situations is an indispensable skill of future driver assistance systems. This study focuses on the recognition of situations involving two ve...
Eugen Kafer, Christoph Hermes, Christian Wöhl...
IROS
2006
IEEE
127views Robotics» more  IROS 2006»
14 years 3 months ago
Learning Predictive Features in Affordance based Robotic Perception Systems
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...
Gerald Fritz, Lucas Paletta, Ralph Breithaupt, Eri...