pkicki/cnp-b

Neural network-based constrained kinodynamic motion planner

29
/ 100
Experimental

This project helps robotics engineers and researchers design efficient movement paths for robots and automated systems, especially when precise control and obstacle avoidance are critical. You input the robot's starting point, its desired end position, and any environmental constraints, and it outputs a smooth, collision-free trajectory. This is for professionals working with robotic arm manipulation, autonomous navigation, or industrial automation.

No commits in the last 6 months.

Use this if you need to quickly generate complex, constrained motion plans for robots that need to move precisely within their environment.

Not ideal if you're looking for a simple pathfinding tool for basic navigation without complex physical constraints or dynamic motion requirements.

robotics motion-planning industrial-automation robot-control path-optimization
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

36

Forks

2

Language

Python

License

MIT

Last pushed

Jan 29, 2024

Commits (30d)

0

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