kiwi-sherbet/PRESTO

Official codebase for PRESTO (Planning with Environment Representation, Sampling, and Trajectory Optimization)

26
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Experimental

This project helps roboticists and automation engineers design efficient movement paths for robots in complex, obstacle-filled environments. You input a robot's workspace and task, and it outputs smooth, collision-free movement trajectories. It's designed for those who need to quickly generate reliable robot motions, especially in tight spaces.

No commits in the last 6 months.

Use this if you need to rapidly plan complex, collision-free movements for robots, particularly in environments with narrow passages or many obstacles.

Not ideal if you are looking for a general-purpose motion planner without the need for learning-guided trajectory generation or dealing with complex, constrained workspaces.

robot-motion-planning robotics-automation collision-avoidance industrial-automation robot-path-generation
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Python

License

MIT

Last pushed

Aug 19, 2025

Commits (30d)

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