cliport/cliport
CLIPort: What and Where Pathways for Robotic Manipulation
This project helps robotics engineers and researchers train robotic arms to perform complex tabletop manipulation tasks, such as stacking blocks or picking up specific objects. You provide demonstrations of the desired actions, and the system learns a language-conditioned policy, allowing the robot to understand and execute commands like "stack the red block on the blue block." The output is a trained robotic agent capable of precise object handling based on human instructions.
541 stars. No commits in the last 6 months.
Use this if you are developing or researching robotic manipulation systems and need to train robots to perform a variety of fine-tuned tasks with language-based instructions.
Not ideal if you are looking for an out-of-the-box solution for non-tabletop robotic applications or if your primary focus is on theoretical natural language processing rather than physical robot control.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Nov 02, 2023
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