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IROS
2008
IEEE
156views Robotics» more  IROS 2008»
13 years 11 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
AAAI
2008
13 years 7 months ago
Adaptive Control for Autonomous Underwater Vehicles
We describe a novel integration of Planning with Probabilistic State Estimation and Execution resulting in a unified representational and computational framework based on declarat...
Conor McGann, Frederic Py, Kanna Rajan, John Ryan,...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
13 years 11 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,...
KI
2001
Springer
13 years 9 months ago
Extracting Situation Facts from Activation Value Histories in Behavior-Based Robots
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
Frank Schönherr, Mihaela Cistelecan, Joachim ...
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
13 years 6 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim