Junhong Meng

Papers

Total Citations

H-Index

About

Junhong Meng is a researcher focused on advancing human-robot interaction (HRI) and collaborative systems, with a particular emphasis on multimodal communication and assistive technologies for the elderly. Their most cited work, "A Method of Fusing Gesture and Speech for Human-robot Interaction" (2020, 6 citations), introduces a novel multimodal fusion architecture that integrates gesture and speech inputs to enable more natural and intuitive robot control, addressing key limitations of unimodal interaction models. Building on this, Meng's 2021 paper "HRCS_EE: a human-robot collaboration system to help the elderly" (2 citations) tackles the pressing challenge of developing effective collaborative systems for aging populations, proposing a framework that enhances robot-assisted care. While their citation counts are modest, these contributions are foundational in exploring how robots can better understand and respond to human cues, particularly in sensitive contexts like eldercare. Meng's work bridges the gap between technical HRI design and real-world applications, offering insights into creating more accessible, user-friendly robotic systems that can improve quality of life for vulnerable populations.