Motion capture → Robotics manipulation
Motion capture for Robotics manipulation
Robotics manipulation needs egocentric and third-person demonstrations with pose and contact detail. Here is why Motion capture is the right raw material for it, what buyers typically spec, and how the rights are handled.
Why Motion capture for Robotics manipulation
Humanoid and legged-robot teams use human mocap as the reference distribution for how bodies move: retargeting clips into robot joint space for imitation objectives, conditioning controllers on human-like motion, and benchmarking naturalness. The specs differ from animation mocap. Dynamics matter more than beauty — capture at 100 Hz or above preserves the velocity and acceleration profiles controllers train against, and physical plausibility is a hard constraint: foot-contact fidelity, no interpenetration, no cleanup that fakes ground truth. Contact annotations (which foot, when, how loaded) are disproportionately valuable because contact scheduling is the core of locomotion control. Whole-body manipulation briefs add object interaction: reaching, lifting, carrying with real objects, captured with enough precision that hand trajectories survive retargeting. Skeleton documentation is again decisive — joint mapping into a robot’s kinematic tree is where corpora succeed or die.
What buyers typically spec
Industry-typical ranges — a brief can and should deviate where the task demands it.
| Typical volume | Hours of varied locomotion and manipulation; velocity/style diversity over choreography |
|---|---|
| Capture | Optical, 100–240 Hz; force plates or contact labels where available |
| Labels | Foot-contact events, object interaction phases, motion category tags |
| Deliverables | Skeleton definition with joint limits and units; raw marker data (C3D) plus solved skeletons |
| Formats | C3D, BVH, FBX; CSV/JSON events |
A sample brief
The shape of a workable request — swap in your own numbers and conditions:
- Modality: optical mocap of locomotion (walks, runs, stairs, recovery steps) and box manipulation.
- Volume: 8 hours at 120 Hz+, 20 performers across body types.
- Labels: foot-contact events, per-take speed and terrain tags.
- Rights: performer consent naming AI training; raw C3D included.
fiund's sourcing angle
Mocap studios own valuable libraries but lack a licensing channel with proper performer consent. fiund provides both. We source to a brief and clear the rights before anything moves, so what you receive is both useful and defensible in diligence.
Rights posture
Signed licence, explicit training rights, separate voice/likeness consent, nothing scraped. See the rights & provenance guides.
Frequently asked questions
What breaks when human motion is retargeted to a robot?
Proportions, joint limits, and mass distribution all differ, so retargeted motion can violate the robot’s dynamics even when kinematically valid. Teams handle it with optimization and physics filtering — which works far better when the source data preserved honest velocities and contacts.
Why insist on 100 Hz+ when robots control at various rates?
Because derivatives are the training signal: velocities and accelerations computed from low-rate capture alias exactly in the dynamic moments (impacts, push-off) that matter. Capture high; downsampling later is free.
Other data for Robotics manipulation
More Motion capture use cases
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