Marius Silaghi

Papers

Total Citations

H-Index

About

Marius Silaghi’s research lies at the intersection of human-robot interaction, multimodal communication, and ad-hoc networking, with a focus on making robots more responsive and context-aware in real-world, high-stakes environments. His major contributions center on developing situated spoken dialog systems that fuse speech, gesture, and intent recognition, enabling robots to understand and act on human commands during complex tasks like assembly, patrolling, and emergency evacuation. Notably, his 2022 paper on intent-based multimodal fusion for assembly communication (8 citations) demonstrates how integrating verbal and non-verbal cues can dramatically improve human-robot collaboration. In parallel, his work on a noise-robust multimodal dialog system for emergency evacuation (2 citations) addresses the critical challenge of maintaining reliable communication in chaotic, high-noise settings. More recently, Silaghi has pioneered practical robotic ad-hoc networks (RANETs), leveraging WiFi-Direct to enable flexible, hardware-constrained mobile communication among robots and IoT devices. While his citation counts are still growing, the applied nature of his work—bridging dialog systems, sensor fusion, and networking—positions him as a forward-thinking contributor to autonomous systems that must operate safely and effectively alongside humans in dynamic, mission-critical scenarios.