RL Environments as a Service
Real-world reinforcement learning environments for production robotics teams
We provide persistent, learning-ready robotic environments backed by real hardware, real sensors, and real operational support — enabling robotics teams to train, evaluate, and iterate on RL and learning-based policies in the real world, not just in simulation.
What We Mean by "Environment"
We do not offer simulators. An RL environment, in our context, is a fully specified, continuously operable system, including: physical robotic setup, clearly defined tasks and success criteria, stable observation and action spaces, deterministic reset and initialization procedures, continuous data logging and evaluation signals, safe execution under repeated trials and failures.
What We Provide
Persistent Real-World Environments — Thousands of episodes, online or offline RL, regression testing across policy versions, long-term performance tracking. We handle hardware setup, calibration, maintenance, and operational safety.
Learning-Ready Signals — Joint states, control commands, proprioception, vision (RGB/RGB-D, multi-view), force and tactile feedback for contact-rich tasks, explicit success/failure/termination conditions. All signals time-synchronized and structured.
Controlled Failure at Scale — Safely execute failed grasps, slips, collisions, recovery attempts. Capture failure trajectories as first-class data. Surface edge cases that simulators consistently miss.
Example Production Environments
- Contact-Rich Manipulation — Grasping under friction variability, tactile-aware insertion, slip detection and recovery
- Teleoperation-Bootstrapped RL — Human-in-the-loop demonstrations, online or offline RL fine-tuning, continuous dataset expansion
- Regression & Benchmark Environments — Fixed task definitions, repeatable resets, version-controlled evaluation metrics
Engagement Models
Pilot Environment — Short-term setup, feasibility validation, environment and task co-design.
Persistent Environment — Dedicated hardware and task setup, continuous access, monthly or quarterly engagement.
Integrated Partnership — Multiple environments, ongoing dataset growth, custom metrics and reporting.
Why Silicon Valley Robotics Center? We operate at the intersection of real robotic hardware, learning-based control, and production-oriented data pipelines. Our environments are built by teams who understand both RL algorithms and physical systems.