caelan/pddlstream
An AI planning framework that combines PDDL symbolic planning with blackbox sampling procedures for robot task and motion planning.
Not currently ranked — collecting fresh signals.
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PDDLStream extends Planning Domain Definition Language (PDDL) with streams, which are declarative specifications of sampling procedures. It enables domain-independent planning algorithms to solve problems by combining symbolic planning with blackbox samplers. The primary application is robot Task and Motion Planning (TAMP), integrating high-level symbolic reasoning with lower-level motion planning.
Frequently asked
- What is caelan/pddlstream?
- An AI planning framework that combines PDDL symbolic planning with blackbox sampling procedures for robot task and motion planning.
- Is pddlstream open source?
- Yes — caelan/pddlstream is open source, released under the GPL-3.0 license.
- What language is pddlstream written in?
- caelan/pddlstream is primarily written in Python.
- How popular is pddlstream?
- caelan/pddlstream has 481 stars on GitHub.
- Where can I find pddlstream?
- caelan/pddlstream is on GitHub at https://github.com/caelan/pddlstream.