Depth Camera Calibration Best Practices for Data Teams
For robots operating in the physical world, seeing an object is only the beginning. A robot must also understand how far away…
Teleoperation, annotation, and evaluation programs — scoped, staffed, and running in four weeks. Built for embodied AI teams that need data, not vendors.
Every trajectory, frame, and label belongs to you. Your data never trains another client’s model.
VR, exo, and bilateral leader-follower rigs. Sub-10ms latency, 30Hz joint logging.
Egocentric video, hand pose, gaze tracking, and force gloves for VLA pre-training.
Synchronized RGB-D, lidar, IMU, tactile, and audio. Microsecond alignment.
Action segmentation, affordance masks, language captions, reward signals.
Isaac and MuJoCo scene generation, domain randomization, and sim-to-real bridging.
Held-out test sets, scenario libraries, and scoring infrastructure for model release.
Targeted collection for failure modes identified from your production model logs.
Trained, vetted operators in your studios. Maximum IP control. Best for surgical, autonomous, and high-stakes verticals.
Per FTE-month
Distributed operator network for scene diversity and geographic spread. Fast scale-up, lower per-hour rate.
Per task or per hour
Dedicated core for the spine of your dataset, crowdsourced edge for diversity and long-tail. Most production buyers.
Custom SOW
Whole-body trajectories, cross-embodiment data, and dexterous manipulation for bipedal platforms.
Long-horizon tasks in real environments with bimanual platforms like Aloha, Stretch, and Tiago.
Pick-pack-place demonstrations across SKU diversity, packaging variations, and edge case scenarios.
Procedure-grade teleop data with clinician operators. HIPAA-compliant collection and storage.
Six things that separate a Roborax program from a generic data labeling vendor.
Dedicated pods, crowdsource networks, or hybrid programs. Most vendors offer one model. We scope the right fit for your program before contract.
41 delivery centers across India, the Philippines, the US, Canada, the UK, and seven more countries. Scale or specialize by geography without changing vendors.
SOC 2 Type II, ISO 27001, HIPAA, ITAR, CMMC, UK GDPR, DPDP Act 2023. Regulated programs are not exceptions here — they are the default.
Standard ramp from signed SOW to first production batch. Operator recruitment, training, and calibration are built into the timeline, not added to it.
Average 14-month operator tenure on dedicated programs. Consistency within a program is not accidental — it is how we staff and retain.
20,000+ employees across Fusion CX. The operational infrastructure of a global BPO, purpose-built for embodied AI data. Scale on demand without notice.
Trajectories collected
Delivery centers
SOW to first batch
Label accuracy
FROM THE FIELD
For robots operating in the physical world, seeing an object is only the beginning. A robot must also understand how far away…
What a wearable capture rig must carry, why field logistics stall programmes more than engineering does, consent in shared spaces, and quality controls that work.
A robot may have excellent sensors, sophisticated actuators, and a powerful learning model—but if the data used to train that robot is…
A robot can see an object without understanding how it feels. A camera can identify a cup, estimate its position, and guide…
A mobile robot cannot navigate a warehouse, factory, hospital, or outdoor environment from camera images alone. It needs to understand distance, geometry,…
Human demonstration and teleoperation produce different action labels with different traps. Plus the third category, intervention data, that most teams never budget for.
Why fleet interventions are the best-targeted training data you own, what must be logged to make them trainable, the loop from incident to retrained policy.
What an ALOHA cell is, what you need to build one, where the recurring cost really sits, what each episode should record, and the seven mistakes that force a re-collection.
Latency is a chain, not a number. How to measure glass-to-glass delay, why jitter hurts more than lag, tolerance by task class, and how to build a defensible budget.
A solutions engineer replies within one business day with a
scoped SOW.