Papers
1
Total Citations
6
H-Index
1
About
Jun Heo is a pioneering researcher in the field of human-robot interaction and acoustic sensing, with a particular focus on sound-based communication systems. His most cited work, "Human-robot and robot-robot sound interaction using a 3-Dimensional Acoustic Ranging (3DAR) in audible and inaudible frequency," introduces a novel framework that enables precise spatial localization and interaction between humans and robots using both audible and inaudible sound waves. This contribution has garnered 6 citations, underscoring its early impact in advancing non-visual, low-cost sensing modalities for robotics. Heo’s research bridges auditory perception and robotic autonomy, offering scalable solutions for collaborative environments where visual cues are limited. By integrating 3DAR into human-robot and robot-robot contexts, he has opened new pathways for intuitive, sound-driven coordination in industrial, assistive, and swarm robotics. His work is notable for its interdisciplinary approach, combining acoustics, signal processing, and robotics to create robust interaction paradigms. As a rising scholar, Heo’s innovations promise to reshape how robots perceive and respond to their surroundings, making sound a key medium for seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1