Emanuele Concas

Papers

Total Citations

H-Index

About

Emanuele Concas is a researcher focused on enhancing human-robot interaction (HRI), particularly through accessible and scalable technologies. His key research areas include voice-controlled robotic systems, assistive robotics for individuals with disabilities, and modular architectures for HRI. Concas’s major contribution lies in developing an abstraction layer that leverages voice assistant technologies to enable effective human-robot interaction, specifically for people with neuromuscular disorders who retain speech capabilities. This work, detailed in his most-cited paper (2021, 17 citations), demonstrates how robotic wheelchairs can be controlled via voice commands, restoring autonomy in daily activities. Additionally, his 2019 paper (8 citations) proposes a flexible and scalable architecture for HRI, emphasizing adaptability across different robotic platforms. Concas’s research bridges the gap between commercial voice assistants and assistive robotics, offering practical solutions for inclusive design. His work has significant implications for improving quality of life and independence for individuals with mobility impairments, highlighting the potential of voice-driven interfaces in real-world assistive applications.