Challenge
No CAD, no simulation?
Field equipment often has no CAD data — or the CAD no longer matches reality.
Real-to-Sim / Sim-to-Real
From reality to Sim.
From Sim to the field.
We convert real equipment, robots, objects and physical phenomena into simulation environments, and return validated results to machines, robots and equipment design.
KIPtech
KIPtech builds it in stages.
We start from photos, videos, dimensions and logs, then refine the model against measured data.
01. The loop — How reality and Sim connect
Build with Real-to-Sim,
return with Sim-to-Real.
Build the simulation from real data, then feed validated results back to machines and equipment. This round trip is the core workflow.
Real-to-Sim
From reality to simulation.
We reconstruct real equipment, robots and target objects in simulation from CAD, site photos, videos, dimensions, catalogs, sensor logs and control conditions. Without CAD, we start from a simplified model and refine it step by step against videos and measured data.
Sim-to-Real
From simulation to the field.
Validated motion conditions, failure patterns, control parameters and layout options are fed back into real robots and equipment design. Before machine testing, we check interference, reachable range, cycle time, grasping conditions, flow conditions and spray conditions.
Real Data→Simulation Model→Virtual Test→Evaluation→Real Machine / Robot
02. Starting conditions — With or without CAD
Start with CAD —
or without it.
We build to the accuracy the goal requires, not a full digital twin.
With CAD
If you have CAD
- Use official, equipment or robot CAD data
- Build visual and collision models
- Set reachable range, interference, speed, acceleration and torque limits
- Validate layout, cycle time and motion sequences
Without CAD
If you don't
- Build approximate models from photos, videos, dimensions, catalogs and interviews
- Start validation with simplified geometry
- Refine gradually with measured logs and video analysis
- Build to the accuracy the goal requires — not a full digital twin
03. Input data — What to hand over
Start from the information
you already have.
Not everything needs to be available. We design the modeling approach around what you can provide.
Geometry
Shape data
CAD (STEP, STL, etc.), drawings, dimensions, catalogs and photos.
Motion
Motion & behavior data
Videos, motion sequences, control conditions, robot models and teaching data.
Measurement
Measured & log data
Sensor logs, measured values, test records and existing reports.