Petros Savvidis

Papers

Total Citations

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About

Petros Savvidis is a researcher at the forefront of human-robot interaction (HRI), specializing in integrating natural language processing (NLP) and automatic speech recognition (ASR) into robotic systems. His work redefines how robots understand and communicate with humans, drawing inspiration from virtual assistants to create more intuitive, "mind-like" interfaces. In his highly cited 2023 paper, *Inquiring Natural Language Processing Capabilities on Robotic Systems through Virtual Assistants: A Systemic Approach* (19 citations), Savvidis proposed a systemic framework that treats virtual assistants as the cognitive core of robots, enabling seamless communication and action coordination. This foundational work has influenced subsequent research into conversational AI for robotics. Building on this, his 2025 study, *Applying Automatic Speech Recognition on Intelligent Human-Robot Interfaces for Operational Usage* (5 citations), tackles the practical deployment of ASR in real-world HRI, addressing a challenge that has persisted in AI for over seven decades. By bridging theoretical NLP models with operational robotics, Savvidis is advancing the frontier of intelligent, voice-controlled machines—a critical step toward robots that can work alongside humans in dynamic environments.