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act_red_box_v5_precision_b8
Terra11113/act_red_box_v5_precision_b8
act_red_box_v5_precision_b8 is a machine learning model from Terra11113. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for lerobot.
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At a glance
- Library
- lerobot
- Access
- Public
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026
- SHA
- bcb7e916
Model card
From the Hugging Face model README
ACT V5: SO-101 Precision Pick-and-Place Baseline
Task
Pick up a red cube and put it in a box.
Hardware
- SO-101 leader-follower robot arm
- External RGB camera
- NVIDIA RTX 5060 Laptop GPU
Training data
20 high-quality teleoperated demonstrations. The cube starts at a fixed reference location A.
Training configuration
- Policy: ACT
- Training steps: 20,000
- Batch size: 8
- Input: RGB image and robot joint state
- Output: SO-101 joint action chunk
Evaluation
The policy was evaluated in 10 independent autonomous real-robot trials.
| Metric | Result |
|---|---|
| Successes | 8 / 10 |
| Success rate | 80% |
Result
This is the initial closed-loop imitation-learning baseline. The next stage adds a wrist camera, multiple cube positions, language instructions, and SmolVLA fine-tuning.
Limitations
The evaluation uses a fixed object position and a single external RGB camera. It does not yet test position, lighting, or language generalization.
- Library
- lerobot
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026