thomashiemstra/fred
This my 3d printed robot arm project
This project helps industrial robotic engineers or automation specialists design and implement robot arm movements that avoid obstacles in a dynamic environment. It takes inputs from real-world sensors (like cameras tracking markers) and uses advanced machine learning to generate smooth, collision-free paths for a robotic arm to reach a target. The output is a series of precise movements that guide the robot without getting stuck, enabling complex tasks in automated settings.
109 stars.
Use this if you need a robotic arm to navigate cluttered spaces or avoid unexpected objects efficiently and reliably, going beyond simple pre-programmed movements.
Not ideal if your robot arm operates in a completely static, controlled environment with no possibility of unexpected obstacles, or if you prefer purely deterministic, rule-based control.
Stars
109
Forks
12
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 21, 2026
Commits (30d)
0
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