Mobile Manipulation Teleoperation: Collecting Whole-Body Data for Robots That Move and Manipulate
A tabletop arm only has to answer one question: where does the gripper go next? A robot that drives to the counter,…
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
A tabletop arm only has to answer one question: where does the gripper go next? A robot that drives to the counter,…
When collecting robot demonstrations, teams often focus on what operators see and how precisely they control the robot. But in contact-rich tasks,…
A robot can perform the same task thousands of times without failure—and still encounter a scenario tomorrow that it has never seen…
Robots have learned to see. They can recognize objects, estimate depth, track motion, and interpret complex environments through cameras and other sensors.…
Robots are no longer being developed exclusively on physical hardware. As robotic systems become more intelligent, simulation has become a critical environment…
Robot learning depends on data, but collecting high-quality robot data in the physical world can be expensive, slow, and difficult to scale.…
Robots are becoming more capable—but capability is only as strong as the data behind it. From autonomous mobile robots and warehouse manipulators…
A robot can be trained on millions of demonstrations and still fail when it encounters something slightly different from what it has…
Training robots exclusively in the physical world is expensive, slow, and difficult to scale. Every new object, environment, lighting condition, sensor configuration,…
A solutions engineer replies within one business day with a
scoped SOW.