Hardware Ecosystem for
Physical AI Data
We are hardware-agnostic and support robots, sensors, cameras, and motion-capture systems across the robotics ecosystem. Standardized data collection for AI training at scale.
Hardware Categories
Modular, scalable hardware solutions for robotics data collection
Category 1
Humanoid Robots
Full-body and upper-torso humanoid systems for complex manipulation tasks
Hardware Option
Full-Body Humanoid Robot (Bipedal Mobile Manipulator)
Upper-Torso Humanoid (Fixed-Base Dual-Arm Manipulator)
Lower-Body Mobile Base with Manipulator
Data Captured
- Full body joint angles
- Dual-arm coordination
- Balance control data
- Hand trajectory
- Dexterous manipulation
- Whole-body motion
Dataset Parameters
- DOF count
- Joint torque
- End-effector pose
- Center of mass
- Gait parameters
- Contact force
Industries
- Humanoid AI
- warehouse robotics
- Service robotics
Category 2
Quadruped Robots
Legged mobile robots for terrain navigation and inspection
Hardware Option
Legged mobile robots
Inspection robots
Terrain-adaptive platforms
Data Captured
- Gait cycles
- Terrain interaction
- IMU + LiDAR data
- Foot contact force
- Balance metrics
Dataset Parameters
- Step frequency
- Joint torque
- Balance metrics
- Terrain mapping
- Leg coordination
Industries
- Inspection
- industrial monitoring
- autonomous mobility
Category 3
Industrial & Collaborative Robot Arms
Single-arm and dual-arm systems for precision manufacturing and assembly
Hardware Option
Single-arm cobots
Dual-arm systems
High-speed industrial arms
Data Captured
- Joint trajectory
- Torque feedback
- Pick-and-place data
- Assembly motion
- Force/torque sensing
Dataset Parameters
- DOF
- Joint velocity
- Tool center point (TCP) pose
- Gripper force
- Acceleration profiles
Industries
- Manufacturing
- assembly
- logistics
Category 4
Grippers & End Effectors
Diverse gripper types for dexterous manipulation and grasping
Hardware Option
2-Finger Parallel Gripper
3-Finger Adaptive Gripper
4-Finger Anthropomorphic Gripper
5-Finger Dexterous Robotic Hand
Vacuum Gripper
Soft Gripper
Data Captured
- Grip force
- Finger articulation
- Contact point
- Object pose
- Slip detection
Dataset Parameters
- Finger DOF
- Force feedback
- Slip detection
- Grasp success/failure
- Contact pressure
Industries
- Dexterous manipulation
- industrial picking
- humanoid robotics
Category 5
UMI / Mobile Manipulation Devices
Universal Manipulation Interface systems for scalable data collection
Hardware Option
FastUMI Pro
AgileX Robotics Pika
Compact mobile manipulation platforms
Data Captured
- Teleoperation trajectory
- Multi-modal sensor data
- Arm + base coordination
- Real-world manipulation tasks
- Environmental context
Dataset Parameters
- Mobile base pose
- Arm DOF
- End-effector trajectory
- Environment mapping
- Synchronization timestamps
Industries
- Robotics research
- AI labs
- data capture labs
Category 6
Vision Systems
Multi-camera and depth sensing systems for visual data capture
Hardware Option
Head-mounted cameras
Wrist cameras
Multi-camera rigs
Depth cameras
Data Captured
- Egocentric video
- Multi-view video
- Depth data
- Stereo video
- Point clouds
Dataset Parameters
- Resolution
- FPS
- Camera calibration
- Depth accuracy
- Field of view
Industries
- Computer vision
- robotics perception
- AR/VR
Category 7
Human Motion Capture Systems
Full-body and finger tracking for human demonstration data
Hardware Option
Full-body motion capture suits
Finger tracking gloves
VR trackers
Optical tracking systems
Data Captured
- Full-body kinematics
- Finger movement
- Tool usage
- Hand-object interaction
- Pose estimation
Dataset Parameters
- Skeleton model
- Joint angle accuracy
- Timestamp synchronization
- Marker positions
- Latency
Industries
- Animation
- robotics training
- VR content
Category 8
Spatial & Environmental Sensors
LiDAR, 3D scanners, and IMU systems for environmental mapping
Hardware Option
LiDAR
3D scanners
IMU sensors
GPS / RTK systems
Data Captured
- 3D point cloud
- SLAM maps
- Terrain modeling
- Inertial data
- Positioning data
Dataset Parameters
- XYZ density
- Intensity
- Timestamp
- Sensor pose
- Accuracy metrics
Industries
- Autonomous navigation
- mapping
- environmental sensing
Why Hardware-Agnostic
Matters
Our approach standardizes datasets across platforms while respecting your existing hardware investments
Standardized Datasets
We standardize datasets across different hardware platforms, ensuring consistency and interoperability for AI model training.
Use Your Existing Hardware
No need to replace your current robotics infrastructure. Our system works with the hardware you already own and operate.
Focus on Data Quality
We focus on data quality, synchronization, and calibration—not hardware lock-in. Your data works everywhere.
Data Types in Physical AI
Comprehensive multi-sensor datasets capturing every dimension of human skill for robotics training
Vision Data
Multi-camera RGB and depth recordings capturing human movements from multiple angles.
- 4K RGB video at 30-60 FPS
- Depth maps from RealSense/Kinect
- Synchronized multi-view recordings
- Calibrated camera intrinsics
- Undistorted image sequences
Motion Capture Data
Precise skeletal tracking with joint angles, velocities, and accelerations.
- 22+ joint skeleton tracking
- Hand pose with finger tracking
- Body orientation & rotation
- Joint velocities & accelerations
- Marker-based or markerless capture
Robot State Data
Complete robot kinematics, dynamics, and sensor readings during task execution.
- Joint angles (DOF positions)
- Joint velocities & torques
- Gripper force & position
- End-effector pose (6D)
- Sensor feedback streams
3D Point Cloud & LiDAR
Spatial scene understanding with depth information and environmental context.
- XYZ point clouds at 30 FPS
- LiDAR scans with intensity
- Voxel grid representations
- Semantic segmentation masks
- Scene reconstruction data
Context & Audio Data
Environmental context, audio cues, and metadata for comprehensive understanding.
- Stereo audio recordings
- Environmental sounds
- Task-specific metadata
- Lighting conditions
- Temperature & humidity logs
Multi-Sensor
Synchronization
All sensors work in perfect harmony, capturing every detail of human skill with microsecond precision.
Timestamp Synchronization
All sensors synchronized to microsecond precision
Hardware Sync
Trigger-based synchronization across multiple devices
Software Sync
Post-processing alignment for non-synchronized sources
Calibration
Camera intrinsics, extrinsics, and IMU calibration
Format Standardization
Unified data format across all sensor types
Quality Validation
Automated checks for sync drift and data integrity
±1ms
Sync Precision
8+
Simultaneous Sensors
100%
Data Integrity
Data Format & Structure
Standardized formats for easy integration with your training pipelines.
Output Formats
- HDF5 (efficient storage)
- COCO JSON (detection)
- MP4 video sequences
- Point cloud (PLY, PCD)
- Rosbag (ROS format)
- Parquet (analytics)
Metadata Included
- Timestamps (all sensors)
- Camera calibration data
- Environmental conditions
- Task annotations
- Quality metrics
- Provenance tracking
Our Vision
We are building India’s largest standardized robot-data capture ecosystem across labs, factories, and homes. By connecting diverse hardware platforms through standardized data protocols, we enable AI researchers and roboticists to access high-quality, synchronized datasets that accelerate the development of intelligent physical systems.
Ready To Build Power The Future Of Robotics Ai
Get production-ready datasets for robotics and AI synchronized, calibrated, and delivered in your preferred format. Start building smarter automation systems today.