OPERATIONAL COHORT GUARANTEE
2,000+ Pre-Screened Indian Participant Database
All data for Human-Robot Interaction (HRI) & Collaborative Trials is collected from our pre-screened cohort pool of 2,000+ Indian participants (ages 20–50, configurable 80:20 M/F ratio). Experiments are staged either using your proprietary hardware/software rigs OR via turnkey Blue Projects sensor staging under strict DPDP Act (India 2023) and EU GDPR compliance.
Technical Specifications & Rigor
Collaborative Robot Rigs
Universal Robots UR10e, Franka Emika, Unitree
Proximity Safety Audit
ISO/TS 15066 Human-Robot Speed & Distance
Tactile & Load Telemetry
6-Axis Wrist Force/Torque Load Cells
Hand-off Reaction SLA
< 15ms Proximity Detection & Safety Halt
Subject Pool
2,000+ Screened Cohort Participants
Data Packaging
ROS2 Bag, HDF5 Kinematics, RLDS Trajectories
PyTorch Telemetry & Data Schema Loader
Python 3.10+# PyTorch HRI Trajectory & Force-Torque Telemetry Loader
import h5py
import torch
class HRITrialDataset(torch.utils.data.Dataset):
def __init__(self, rosbag_h5):
self.h5_data = h5py.File(rosbag_h5, 'r')
def __getitem__(self, idx):
return {
"human_hand_pose": torch.tensor(self.h5_data['human_pose'][idx]),
"robot_joint_qpos": torch.tensor(self.h5_data['robot_qpos'][idx]),
"wrist_force_torque": torch.tensor(self.h5_data['ft_sensor'][idx])
}
⚖️ Statutory Legal & Ethics Compliance Safeguards
DPDP & GDPR Statutory Compliance
Full adherence to India DPDP Act (2023) & EU GDPR Art 6/9 with biometric informed consent protocols.
Subject Rights & Anonymization
Automated face/voice/PHI blurring, subject identity encryption, and post-session withdrawal rights.
Model Weight Protection Clause
Statutory legal guarantee ensuring trained AI model weights are 100% immune from subject data deletion claims once anonymized.
ENTERPRISE COHORT INTAKE
Request a Human Cohort & Lab Consultation
Specify your cohort size, demographic preferences, and hardware staging requirements. Our engineering team responds within 24 hours.