Purpose-built facility engineered for Tesla Optimus, Figure AI, Skild AI, Physical Intelligence, OpenAI, DeepMind, and 1X. Controlled lighting (0–1200 lux tunable daylight CRI 98+) and zero structural harmonics.
Explore Arenas →IEEE 1588v2 PTP Grandmaster clock over 100GbE optical network fabric. Shutter and sensor clock jitter <0.08ms.
Inspect Clock Schemas →Standardized HDF5 & RLDS (Open X-Embodiment) episodes formatted for Action Chunking with Transformers (ACT) and Diffusion Policy (DP-3).
Download DataLoaders →Bilateral ALOHA & GELLO leader-follower workstations. Joint states (qpos, qvel, effort) + GelSight tactile arrays.
24x Vicon Vantage 16MP matrix, 19-point wireless IMU suit, 21-keypoint 3D MANO hands, and 200Hz IR eye-gaze tracking.
Ouster OS1-128 & Hesai QT128 LiDAR SLAM, spherical 360° 8K video, and calibrated 4K multi-cam surround arrays.
Physics-calibrated replicas matched 1:1 with Isaac Sim and MuJoCo 3.0 virtual twins. Contact dynamics and friction benches.
Cockpit testbed for occupant gaze, drowsiness (PERCLOS), steering torque, pedal telemetry, and synchronized 940nm IR video.
ISO 3745 certified anechoic studio pod (<18 dBA noise floor) for 48kHz studio-grade Indic speech corpora & voice actors.
50Hz low-latency trajectory episodes formatted for state-of-the-art imitation learning policies.
import torch
from torch.utils.data import Dataset, DataLoader
import h5py
class SkyAiAlohaDataset(Dataset):
"""
Sky AI LAB — 50Hz Bimanual HDF5 Episode Loader
Time-synchronized joint states (qpos, qvel, effort) + GelSight tactile grids.
"""
def __init__(self, hdf5_path: str, chunk_size: int = 16):
self.file = h5py.File(hdf5_path, 'r')
self.chunk_size = chunk_size
self.qpos = self.file['/observations/qpos'][:] # (N, 14) Dual 7-DoF
self.action = self.file['/action'][:] # (N, 14)
self.wrist_cam = self.file['/observations/images/wrist_left'][:]
def __len__(self):
return len(self.qpos) - self.chunk_size
def __getitem__(self, idx):
return {
'state': torch.tensor(self.qpos[idx], dtype=torch.float32),
'action_chunk': torch.tensor(self.action[idx:idx+self.chunk_size], dtype=torch.float32),
'image': torch.tensor(self.wrist_cam[idx].transpose(2, 0, 1), dtype=torch.float32) / 255.0
}
loader = DataLoader(SkyAiAlohaDataset('skyai_aloha_episode_042.h5'), batch_size=32, shuffle=True)Sub-millimeter optical motion capture (240Hz) and full-body skeletal tracking retargeted seamlessly to humanoid kinematics.
Zero Sim2Real gap via 1:1 physical Isaac Sim and MuJoCo calibrated replicas with contact wrench verification.
Sub-1ms deterministic hardware clock synchronization powered by IEEE 1588v2 PTP Grandmaster clocks over 100GbE.
Frontier dataset packaging natively compatible with Open X-Embodiment RLDS, Hugging Face LeRobot, and PyTorch.
Unlike standard NTP or software timestamping which incurs 15ms–80ms of jitter, Sky AI LAB deploys an enterprise IEEE 1588v2 Precision Time Protocol (PTP) grandmaster clock. Every camera shutter, tactile sensor matrix, and 6-DoF force-torque sensor is triggered simultaneously via deterministic hardware GPIO strobes over an isolated 100GbE optical network fabric, guaranteeing measured clock jitter <0.08ms.
All recorded episodes are natively packaged in standardized HDF5 (LZ4 compressed), Open X-Embodiment RLDS (TFDS), and Hugging Face LeRobot format. We provide copyable, production-ready PyTorch and JAX DataLoaders featuring temporal action chunking (k=16 timesteps) pre-configured for Action Chunking with Transformers (ACT) and Diffusion Policy (DP-3).
Yes. Under our Bring Your Own Device (BYOD) modality, clients ship custom end-effectors, tactile skins, or egocentric glasses directly to Sky AI LAB. Our mechatronics team fabricates precision mounting brackets, connects PTP/GPIO hardware sync breakout lines, and develops custom ROS2 or ZeroMQ ingestion streamers within 48 hours of delivery.
Sky AI LAB is SOC2 Type II certified. Studio Residencies occupy biometrically partitioned, air-gapped private suites with dedicated 100GbE local NAS arrays and dark fiber egress. Hardware NDA protocols ensure strict compartmentalization: no staff or third parties can access active client arenas without explicit written authorization.
Every tabletop, rig bracket, and manipulated object is 3D laser scanned and converted into OpenUSD and MuJoCo XML assets. Surface friction coefficients are verified with high-speed micro-tribometers, and contact wrench profiles are calibrated against a 1,000Hz ATI EtherCAT force-torque sensor to eliminate the reality gap.