In‐Su Jang
Papers
1
Total Citations
2
H-Index
1
About
In-Su Jang is a researcher focused on advancing human-robot interaction and collective robotics, with particular emphasis on developing software frameworks that enable seamless communication between multiple robotic agents and humans. His most-cited work, "Implementing a HARMS-based software system for use in collective robotics applications" (2015), introduces a foundational approach to structuring multi-agent robotic systems using the HARMS (Humans, Agents, Robots, Machines, and Sensors) model. This contribution addresses the critical challenge of creating scalable, interoperable systems that allow diverse robotic platforms to collaborate effectively with human operators, laying groundwork for practical deployment in real-world collective robotics scenarios. While his citation count (2 for this paper) reflects early-stage impact, Jang's work represents an important step toward the ubiquitous integration of robots into daily life, a goal that continues to drive research in human-robot teaming. His focus on system-level architecture and communication protocols positions him as a contributor to the foundational infrastructure needed for future collaborative robotic applications.
Research Focus
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Top Papers
- 1