More knowledge on the table: Planning with space, time and resources for robots

@article{Mansouri2014MoreKO,
  title={More knowledge on the table: Planning with space, time and resources for robots},
  author={Masoumeh Mansouri and Federico Pecora},
  journal={2014 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2014},
  pages={647-654}
}
  • Masoumeh Mansouri, F. Pecora
  • Published 29 September 2014
  • Computer Science
  • 2014 IEEE International Conference on Robotics and Automation (ICRA)
AI-based solutions for robot planning have so far focused on very high-level abstractions of robot capabilities and of the environment in which they operate. However, to be useful in a robotic context, the model provided to an AI planner should afford both symbolic and metric constructs; its expressiveness should not hinder computational efficiency; and it should include causal, spatial, temporal and resource aspects of the domain. We propose a planner grounded on well-founded constraint-based… 
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26 Citations
Highly Influential Citations
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Background Citations
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Methods Citations
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Results Citations
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26 Citations

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Is Model-Based Robot Programming a Mirage? A Brief Survey of AI Reasoning in Robotics
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    KI - Künstliche Intelligenz
  • 2014
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Forty-eight years after the first AI-driven robot, this article provides an updated perspective on the successes and challenges which lie at the intersection of AI and Robotics.
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