---
license: apache-2.0
---

nyu center for robotics & embodied intelligence\
lab for autonomous and intelligent robotics\
project: embodied at sea (behavioral cloning for marine archaeology & conservation)\
robot: blue robotics's "bluerov2"\
contributors: Dr. Chris Clark (PI), Greta Perez-Haiek (Lead), Luca Macesanu, Kevin Angers, Timothy Gambin (Advisor)\
environment: rectangular swimming pool at NYU CREO, filled with chlorinated water at about a little over a foot's depth of water. \
factors: neutral background (shades of blue hexagons with white rimming), neutral lighting (well-lit and constant), disturbances & distractors (variable)
Snapshot date: August 18, 2026

This folder contains 8 LeRobot-format (codebase_version v3.0) datasets recorded
on a BlueROV2 performing rod-grabbing tasks in a pool, with and without
simulated currents. Each dataset is packaged as a `.zip` containing the
standard LeRobot layout (`data/`, `meta/`, `videos/`).

Counts below are taken from each dataset's `meta/info.json`.

- **Episodes** = `total_episodes` (number of recorded episode/trajectory runs)
- **Frames** = `total_frames` (total timesteps across all episodes, fps = 50.0)
- **Trajectories** = `total_successes` (episodes that ended in a successful grab)

| Dataset | Episodes | Frames | Trajectories (successes) |
|---|---|---|---|
| grab green rod | 101 | 26,774 | 101 |
| grab green rod under currents | 110 | 37,982 | 101 |
| grab red rod | 101 | 23,550 | 101 |
| grab red rod under currents | 102 | 30,171 | 101 |
| grab white rod | 102 | 26,853 | 100 |
| grab white rod under currents | 101 | 27,934 | 101 |
| grab yellow rod | 101 | 22,628 | 101 |
| grab yellow rod under currents | 102 | 28,220 | 101 |

## Notes

- "Episodes" counts every recorded run, including any that did not end in a
  successful grasp; "Trajectories" (`total_successes`) counts only the
  successful ones. In most of these datasets nearly all episodes succeeded
  (only "grab white rod" has 2 non-successful episodes: 102 episodes vs 100
  successes).
- Frame count varies with episode length/duration, not just episode count —
  e.g. "grab green rod under currents" has the most episodes (110) and by far
  the most frames (37,982), consistent with currents making the task take
  longer per episode.
- `robot_type`: bluerov2, single task per dataset (`total_tasks` = 1).