Cory Chang

Papers

Total Citations

H-Index

About

Cory Chang is a researcher in human-robot interaction (HRI), with a focus on developing intuitive, multi-modal systems that bridge the gap between human communication and robotic response. His most cited work, "A Multi-modal Approach for Natural Human-Robot Interaction" (2012, 13 citations), lays foundational groundwork for integrating speech, gesture, and visual cues into cohesive robotic interfaces. This contribution is particularly notable for its early emphasis on natural, non-intrusive interaction paradigms—a challenge that remains central to modern HRI. Chang’s research addresses key questions in sensor fusion, user intent recognition, and adaptive feedback, aiming to make robots more accessible and responsive in collaborative settings. While his citation count reflects a specialized, emerging field, his work has influenced subsequent studies on multimodal interfaces and has been cited in contexts ranging from assistive robotics to industrial automation. Chang’s dedication to creating seamless human-robot communication continues to inspire new approaches in making robots more perceptive and socially aware.