Jaeho Bang
Papers
1
Total Citations
3
H-Index
1
About
Jaeho Bang is a researcher advancing the frontiers of human-swarm interaction, a field that redefines how humans coordinate with large groups of autonomous robots. His work addresses the unique cognitive and operational challenges of controlling robotic swarms, where traditional human-robot interaction models fall short due to high complexity and difficulties in state estimation. His most-cited paper, "Human Interaction Through an Optimal Sequencer to Control Robotic Swarms" (2018), introduces a novel method for conveying operator intent to swarms, enabling more intuitive and efficient control. This contribution has garnered 3 citations, marking an early but promising impact in a niche area of robotics. Bang’s research is pivotal for applications ranging from disaster response to environmental monitoring, where swarms must act cohesively under human guidance. By focusing on optimal sequencing and interface design, he is laying the groundwork for scalable, real-world deployment of swarm systems. His work stands as a testament to the growing importance of human-centered design in autonomous robotics, offering a blueprint for future innovations in human-swarm collaboration.
Research Focus
Key Achievements
Top Papers
- 1Human Interaction Through an Optimal Sequencer to Control Robotic Swarms3 citations · 2018