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» Hierarchical Abstractions for Robotic Swarms
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ROBIO
2006
IEEE
208views Robotics» more  ROBIO 2006»
15 years 5 months ago
Stiffness Optimization of a 3-DOF Parallel Kinematic Machine Using Particle Swarm Optimization
Abstract— In this paper, the architectural parameters optimization of a three-prismatic-universal-universal (3-PUU) parallel kinematic machine (PKM) with three translational degr...
Qingsong Xu, Yangmin Li
KI
2007
Springer
15 years 5 months ago
Training on the Job - Collecting Experience with Hierarchical Hybrid Automata
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
Alexandra Kirsch, Michael Beetz
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
15 years 6 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
CEC
2009
IEEE
15 years 6 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
SAB
2010
Springer
189views Optimization» more  SAB 2010»
14 years 9 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer