ReAct! An Interactive Tool for Hybrid Planning in Robotics
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2013
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| _version_ | 1866917488949723136 |
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| author | Dogmus, Zeynep Erdem, Esra Patoglu, Volkan |
| author_facet | Dogmus, Zeynep Erdem, Esra Patoglu, Volkan |
| contents | We present ReAct!, an interactive tool for high-level reasoning for cognitive robotic applications. ReAct! enables robotic researchers to describe robots' actions and change in dynamic domains, without having to know about the syntactic and semantic details of the underlying formalism in advance, and solve planning problems using state-of-the-art automated reasoners, without having to learn about their input/output language or usage. In particular, ReAct! can be used to represent sophisticated dynamic domains that feature concurrency, indirect effects of actions, and state/transition constraints. It allows for embedding externally defined calculations (e.g., checking for collision-free continuous trajectories) into representations of hybrid domains that require a tight integration of (discrete) high-level reasoning with (continuous) geometric reasoning. ReAct! also enables users to solve planning problems that involve complex goals. Such variety of utilities are useful for robotic researchers to work on interesting and challenging domains, ranging from service robotics to cognitive factories. ReAct! provides sample formalizations of some action domains (e.g., multi-agent path planning, Tower of Hanoi), as well as dynamic simulations of plans computed by a state-of-the-art automated reasoner (e.g., a SAT solver or an ASP solver). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1307_7494 |
| institution | arXiv |
| publishDate | 2013 |
| record_format | arxiv |
| spellingShingle | ReAct! An Interactive Tool for Hybrid Planning in Robotics Dogmus, Zeynep Erdem, Esra Patoglu, Volkan Artificial Intelligence Logic in Computer Science Robotics We present ReAct!, an interactive tool for high-level reasoning for cognitive robotic applications. ReAct! enables robotic researchers to describe robots' actions and change in dynamic domains, without having to know about the syntactic and semantic details of the underlying formalism in advance, and solve planning problems using state-of-the-art automated reasoners, without having to learn about their input/output language or usage. In particular, ReAct! can be used to represent sophisticated dynamic domains that feature concurrency, indirect effects of actions, and state/transition constraints. It allows for embedding externally defined calculations (e.g., checking for collision-free continuous trajectories) into representations of hybrid domains that require a tight integration of (discrete) high-level reasoning with (continuous) geometric reasoning. ReAct! also enables users to solve planning problems that involve complex goals. Such variety of utilities are useful for robotic researchers to work on interesting and challenging domains, ranging from service robotics to cognitive factories. ReAct! provides sample formalizations of some action domains (e.g., multi-agent path planning, Tower of Hanoi), as well as dynamic simulations of plans computed by a state-of-the-art automated reasoner (e.g., a SAT solver or an ASP solver). |
| title | ReAct! An Interactive Tool for Hybrid Planning in Robotics |
| topic | Artificial Intelligence Logic in Computer Science Robotics |
| url | https://arxiv.org/abs/1307.7494 |