Verify robot feasibility and operational reliability by simulating near‑real robot behavior within a digital‑twin environment, identifying risks and performance issues before deployment.

Achieve seamless and intuitive control by integrating ROS and PLC systems, improving operator usability and enabling synchronized automation across diverse equipment.

Monitor on‑site conditions and process states in real time, allowing rapid responses through connected data streams and enhancing situational awareness.

Visualize robot motion and process flows to refine workflow design, detect motion interference, evaluate path efficiency, and derive optimized operational routes.

At our client’s manufacturing site, robots frequently paused during assembly tasks due to subtle motion‑interference issues that were nearly impossible to diagnose on the physical line. The robots occasionally entered unexpected standby states, causing irregular delays and reducing overall throughput. Even experienced robot and PLC engineers struggled to identify the root cause because the interference occurred only under specific motion sequences.

Using our digital‑twin simulation and hybrid ROS‑PLC control environment, we replayed the robot’s movements and process logic repeatedly. Through detailed visualization of motion paths and process timing, we discovered that one robot’s approach trajectory intersected with another robot’s workspace by less than a few centimeters—too small to detect on-site but enough to trigger safety slowdowns.

After adjusting the motion path and updating the PLC coordination logic, the interference was completely resolved. As a result, the client eliminated unexpected pauses, stabilized cycle time, and significantly improved production efficiency.

We assess your manufacturing workflow, identify automation challenges, and define clear objectives for robot integration and digital‑twin simulation.

We evaluate robot systems, PLC infrastructure, sensors, and network conditions to determine technical feasibility and integration requirements.

Using your real process data, we validate robot motion, detect risks, and test automation scenarios within a digital‑twin environment.

We design an optimized hybrid control architecture (ROS + PLC) and provide a tailored implementation roadmap aligned with your operational goals.