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AIPS
1996
13 years 9 months ago
Least-Commitment Action Selection
The principle of least commitment was embraced early in planning research. Hierarchical task networks (HTNs)reason about high-level tasks without committing to specific low-level ...
Marc Friedman, Daniel S. Weld
AIPS
2009
13 years 9 months ago
An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization
Temporally expressive planning, an important class of temporal planning, has attracted much attention lately. Temporally expressive planning is difficult; few existing planners ca...
Ruoyun Huang, Yixin Chen, Weixiong Zhang
ECAI
2010
Springer
13 years 9 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 6 months ago
Trajectory prediction in cluttered voxel environments
Abstract— Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning aroun...
Nikolay Jetchev, Marc Toussaint
AI
2007
Springer
13 years 8 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang