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» Controlling a team of ground robots via an aerial robot
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IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 1 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
JIRS
2008
165views more  JIRS 2008»
13 years 7 months ago
Visual Navigation for Mobile Robots: A Survey
Abstract Mobile robot vision-based navigation has been the source of countless research contributions, from the domains of both vision and control. Vision is becoming more and more...
Francisco Bonin-Font, Alberto Ortiz, Gabriel Olive...
JIRS
2007
108views more  JIRS 2007»
13 years 7 months ago
Task-based Hardware Reconfiguration in Mobile Robots Using FPGAs
This paper presents a methodology for the realization of intelligent, task-based reconfiguration of the computational hardware for mobile robot applications. Task requirements are ...
Sesh Commuri, V. Tadigotla, L. Sliger
GAMEON
2008
13 years 9 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...
ATAL
2006
Springer
13 years 11 months ago
On the response of EMT-based control to interacting targets and models
A novel control mechanism was recently introduced based on Extended Markov Tracking (EMT) [9, 10]. In this paper, we present a study of its response to multiple interacting contro...
Zinovi Rabinovich, Jeffrey S. Rosenschein