Self-Service
Free with hardware purchase
- Buy hardware from us
- Get SDK (
rc connect) free - Set up your own teleop and recording
- Best for: teams with ML experience
From hardware to trained policy. Control any robot, record demonstrations, and train AI models — all from one platform.
Whether you want raw hardware, a recording-ready kit, or a fully managed data-to-policy pipeline, we have a tier for you.
Free with hardware purchase
rc connect) freeRecording-ready out of the box
Best for: teams that want to start collecting data immediately
Get DataKitEnd-to-end data-to-policy
Best for: teams building production robot AI
Contact UsWe support the broadest range of robots, hands, and input devices in the industry. Buy or rent from us, or bring your own.
6-DOF — from $3,000
7-DOF — from $8,000
8-DOF — from $4,500 (we manufacture)
Bimanual — from $35,000 (we manufacture)
from $8,500
Industrial collaborative
Adaptive force control
Cost-effective 6/7-DOF
20-DOF, tactile sensing
6-finger dexterous
Research-grade manipulation
Anthropomorphic design
Compact 6-finger
Full 6-DOF hand tracking
Electronic skin feedback
Haptic feedback
Basic control
Compact humanoid
Full-size humanoid
Research humanoid
Task-focused humanoid
See the full hardware catalog for specs and availability. Leasing available on all platforms.
Four steps from zero to a trained policy running on your robot.
Pick a robot arm, dexterous hand, or humanoid from our store. Hardware ships in days. Leasing available for teams that want to try before they commit.
pip install centeros-cli && centeros connect
One command connects your robot, cameras, and input device. Auto-discovers hardware on the network.
Control the robot with VR, gloves, gamepad, or a leader arm. Every session is automatically recorded with synchronized video, joint states, and actions.
Upload your data, select a training recipe (ACT, Diffusion Policy, VLA), and get a trained policy. Deploy it back to the same robot with one click.
Raw teleop recordings become deployment-ready policies through a six-stage pipeline.
MCAP, HDF5, LeRobot (Parquet), and OpenPI — export to the format your training pipeline needs. No conversion scripts required.
Auto-detect stalls, failures, resets, and out-of-distribution episodes. Every recording gets a quality score so you only train on clean data.
37%usable dataOnly 37% of Raw Teleop Data Is SFT-Usable
Most teleop sessions include false starts, operator hesitation, and recovery motions that actively harm policy training. Our quality scorer automatically identifies the good demonstrations so you do not waste compute training on noise.
Upload your data, pick an architecture, get a trained policy. We support the models that matter for robot manipulation.
Action Chunking Transformer. Fast to train, works well with 50-200 demonstrations for single-arm tasks. The default for most teams starting out.
Denoising diffusion for action generation. Handles multi-modal action distributions — ideal for contact-rich and bimanual tasks.
Vision-Language-Action model with tactile input. Language-conditioned multi-task policies for robots with force and touch sensing.
Start from pre-trained open-source foundation models and fine-tune on your data. Faster convergence, less data required.
Upload your data, get a trained policy. See our AI Models page for architecture details and benchmarks.
Tell us about your robot, your task, and your timeline. We will scope the right tier and get you moving.
Email us directly: contact@roboticscenter.ai