What is sim-to-real in robotics?
RoboSignal · Published · Version 1.0
Sim-to-real refers to transferring a policy, method or result developed in simulation to a physical robot. The transfer must be tested. A simulator can make experiments practical, but a simulated success is not itself a physical-robot success.
Simulation is a model of a setting
MuJoCo provides physics simulation used in robotics and related work. A simulator represents selected properties of a system. Ask which physical conditions the experiment models and which it leaves out. The fidelity needed for a result depends on the task; the name of the simulator cannot settle the question.
What evidence establishes transfer?
Look for the physical robot, transferred checkpoint or controller, calibration procedure and actual task trials. Record any fine-tuning or manual adjustments made after simulation training. Compare the claimed benefit with a relevant baseline on the same physical setup. Keep simulated trial counts separate from physical trial counts. A paper can report both without making them interchangeable.
Common reporting gaps
Unspecified friction, sensor noise, latency, object variation and hardware differences can leave a transfer claim hard to interpret. These are questions to inspect, not proof that a particular method fails. Report what the source measured and leave the other fields unknown. A real-world test on one task is narrower than reliable transfer to many tasks or robot platforms.
Primary references
Reference links checked 2026-10-04. Project claims remain attributed to their original source. This page is not a certification or a live test of the referenced system.
Related reading
Cite this reference
RoboSignal. “What is sim-to-real in robotics?” (2026-10-04), version 1.0. https://robosignal.ai/glossary/sim-to-real. Cite the original project separately for its own reported results.