Imitation Learning on UR5 arm
Imitation Learning on UR5 arm
✅ Project Objective
Briefly explain the goal of your project, such as:
The objective of this project was to train a visual imitation learning agent for a robotic pouring task, and validate the performance in both simulated and real environments.
📽️ Demo Video
📄 Download Report
⚙️ Technical Setup
Code Snippet
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
Math Expression
$$ \gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2} $$🧠 Self Check (Optional)
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You found me 🎉
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👉 Click to view the solution
You found me 🎉
🧾 Results & Analysis
Summarize the performance, metrics, or outcomes of your project.
The trained policy achieved a 93% success rate in simulation and generalized well to real-world settings with minor calibration.
🖼️ Visuals
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Python
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Python