Sim2RealKit

Sim2RealKit is a web + desktop app for robotics and industrial teams who want reinforcement learning policies that actually transfer from simulation to hardware. It provides a repeatable pipeline: import a simulator (MuJoCo/Isaac Sim), define domain randomization ranges, run large-scale training, and automatically generate “transfer reports” that quantify fragility (sensitivity to friction, latency, sensor noise, payload shifts). The app includes a gated deployment workflow: policies must pass stress tests and safety constraints before exporting to ROS2 or an edge runtime. It’s not a magic button—RL still needs good reward design and careful environment modeling—but it removes the painful glue work and makes failures measurable. The product focuses on practical engineering: experiment tracking, reproducibility, and clear diagnostics instead of flashy demos.