Arjun Vettickal Anilkumar

• Developing a digital twin in Isaac Sim for a novel automotive wire-harness line. • Validated automation feasibility prior to virtual commissioning and OEE evaluation. • Processed reality-capture data to enhance simulation environments.

Reallabor Industrial Metaverse Virtual commissioning Factory planning Dev- Shopfloor management extension

• Benchmarked data generation platforms and developed a synthetic data pipeline in Isaac Sim. • Conducted an ablation study that enhanced detection accuracy to state-of-the-art levels, utilizing MLflow for experiment tracking. • Validated zero-shot models on real-world testbeds to analyze Sim-to-Real failures, contributing to a conference paper for SCAP 2026.

Benchmarking Synthetic Data Generation Platforms in Object Detection (Robotics) and its transferability (sim2real)

• Developed a Kit extension with a dockable omni.ui panel to enhance the management of the ARENA2036 shopfloor. • Implemented data-driven filter categories and integrated metadata retrieval from CSV files for improved functionality. • Created a front end that streams the Omniverse viewport over WebRTC, enabling remote viewport control.

Utilized PDMS and 3D CAD software to model, map, and visualize complex chilled water distribution networks, laying the foundation for accurate 3D spatial layout and digital system representation. Utilized CAESAR II to conduct mechanical stress analysis and fluid distribution evaluations to optimize pipe routing, ensuring structural integrity and process performance under simulated operational loads before on-site implementation.

Control in various aspects of piping work, including fabrication, erection, welding, and inspection for projects of different scales to meet client requirements.