Corey Sobel
Papers
1
Total Citations
13
H-Index
1
About
Corey Sobel is a researcher whose work lies at the intersection of robotics, human-computer interaction, and multi-modal perception. His most-cited paper, "A Multi-modal Approach for Natural Human-Robot Interaction" (2012), with 13 citations, introduces a framework that integrates visual, auditory, and tactile cues to enable more intuitive and fluid communication between humans and robots. This contribution is foundational in advancing socially aware robotics, moving beyond simple command-based interfaces toward systems that can interpret and respond to natural human behaviors. Sobel’s research emphasizes the design of interaction paradigms that reduce cognitive load on users, making robots more accessible in collaborative environments like manufacturing, healthcare, and domestic settings. While his citation count reflects a focused niche, his work is notable for its early adoption of multi-sensory fusion—a concept now central to modern human-robot interaction. By prioritizing naturalness and adaptability, Sobel has helped shape how robots perceive and react to human intent, laying groundwork for more empathetic and responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Multi-modal Approach for Natural Human-Robot Interaction13 citations · 2012