Experience & Education
Academic background and industrial research path.
Selected Publications
Research contributions in peer-reviewed journals and conferences.
Systematic review of 121 studies establishing a unified framework for integrating Cognitive Digital Twins in autonomous robotic systems, focusing on robust localization, navigation, and manipulation architectures.
A fine-tuning-free edge framework leveraging Large Language Models (LLMs) deployed on resource-constrained embedded systems (NVIDIA Jetson) to enhance autonomous robot navigation using zero-shot prompt engineering.
A proof-of-concept architecture with validation against a conventional hysteresis controller, demonstrating the viability of LLM-based intelligent relay control in cyber-physical thermal systems.
Technical Expertise & Projects
Key areas of development and system architectures.
Bridging FMI/Modelica simulation with ROS 2 deployment and safety-aware policies for industrial applications.
Low-latency inference pipelines optimized for Jetson-class hardware, directly integrated as ROS 2 nodes.
VIO/LIO/SLAM robustness strategies with system-level arbitration for highly dynamic environments.