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ESIAT
2009
IEEE
14 years 7 months ago
Path Planning Based on Dynamic Sub-population Pseudo-Parallel Genetic Algorithm
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude o...
Lei Li, Yuemei Ren, Changyu Yang
96
Voted
AGENTS
1998
Springer
15 years 1 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
103
Voted
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
14 years 9 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
TSMC
1998
82views more  TSMC 1998»
14 years 9 months ago
To push or not to push: on the rearrangement of movable objects by a mobile robot
—We formulate and address the problem of planning a pushing manipulation by a mobile robot which tries to rearrange several movable objects in its work space. We present an algor...
Ohad Ben-Shahar, Ehud Rivlin
ECAI
2010
Springer
14 years 9 months ago
Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies
Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Stefan Zickler, Manuela M. Veloso