Bimanual Teleop HDF5 Telemetry
Synchronized 50Hz joint trajectories (qpos, qvel, effort), multi-cam 4K video feeds, and load cell telemetry stored in chunked HDF5 files.
Quality & Precision Benchmarks
TELEMETRY RATE
50 Hz Synchronized
VIDEO RESOLUTION
4K 60fps Multi-Cam
DATA SCHEMA
ACT / Diffusion Policy HDF5
CAMERA SYNC
PTP IEEE 1588v2 Nanosecond
Dataset Taxonomy & Output Structure
/observations/qpos (14-DoF Joint Positions)
/observations/qvel (14-DoF Joint Velocities)
/observations/effort (14-DoF Actuator Torques)
/observations/images/top (4K 60fps Wrist/Overhead Video)
/action (14-DoF Target Joint Commands)
Specific Type Tasks & Applications
- • Imitation Learning (ACT & Diffusion Policy)
- • Robotics Foundation Model Pre-Training
- • Multi-Modal Joint Trajectory Benchmark
What Is Right vs What Is Wrong
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: Unsynchronized video frames and joint encoders creating temporal misalignment during policy training | PASS: Hardware-triggered PTP IEEE 1588v2 nanosecond timestamp alignment across all cameras and joints |
| FAIL: Uncompressed raw video inflating dataset file size by 10x without quality gains | PASS: Lossless H.265 / AV1 hardware encoding integrated directly into HDF5 binary datasets |
Files & HDF5 Telemetry Example (Python)
import h5py
# Load Blue Projects Teleoperation Data Type: Bimanual Teleop HDF5 Telemetry
with h5py.File("bimanual-teleop-hdf5-telemetry_episode.h5", "r") as f:
print("HDF5 Telemetry Keys:", list(f["observations"].keys()))
Why Blue Projects for Bimanual Teleop HDF5 Telemetry?
Request a free matched 50-episode HDF5 teleoperation sample batch recorded on ALOHA or GELLO leader-follower arm rigs.
Request Free Sample Batch →