Design Ready To Use Robot Motion Dataset Planning & Solution

Human kinematics feature spherical ball joints (3-DoF at shoulders and hips) and non-linear spine flexures, whereas humanoid robots use discrete revolute axes with strict mechanical limits and link lengths. Our proprietary platform, VDRobot Studio, applies numerical inverse kinematics driven by damped least squares (DLS) and Sequential Quadratic Programming (SQP). We match Cartesian end-effector targets and key body center-of-mass positions while simultaneously constraining joint angles, angular velocities, and self-collision meshes according to the robot's target URDF or MJCF specifications.

Industrial settings contain large metal assemblies, electric motors, and high-voltage conduits that distort traditional magnetometer headings. Our capture hardware utilizes sensor fusion algorithms that dynamically reduce reliance on raw magnetic flux vectors when localized distortion anomalies are detected. By combining high-frequency gyroscopes, accelerometer gravity vectors, zero-velocity contact updates (ZUPT) at the feet, and optional external optical spatial reference anchors, heading drift is maintained below 0.5 degrees per hour of continuous tracking.

Data packages are natively exported in standard robotic machine learning formats: HDF5 (following the robomimic and RoboCasa conventions), Hugging Face LeRobot format, and ROS2 MCAP files. These include structured datasets containing observations (RGB-D camera streams, proprioceptive joint positions, joint velocities), actions (target joint angles or Cartesian velocity commands), rewards, and natural language instruction strings. They plug directly into NVIDIA Isaac Sim, Isaac Gym, MuJoCo, and PyBullet environments without requiring proprietary middleware.

Yes. Beyond our standard catalog of manipulation and locomotion datasets, Virdyn provides customized data collection services. We can mount your exact robotic gripper, dexterous hand, or custom industrial tooling into our teleoperation rigs, configure physical workspaces matching your target operating environments (e.g., semiconductor cleanrooms, vehicle cockpits, or conveyor stations), and execute standardized multi-take capture campaigns with professional human operators.

End-to-end hardware-to-actuator latency is typically under 15 milliseconds under dedicated local Wi-Fi 6 / ultra-wideband (UWB) or Ethernet connections. Data transmission utilizes low-overhead UDP socket streaming, ROS2 zero-copy DDS middleware, or WebRTC for long-range telepresence. This near-instantaneous feedback allows operators to stabilize dynamic bipedal balancing tasks and execute fragile contact operations with tactile confidence.