Corey Hannum
Papers
2
Total Citations
33
H-Index
2
About
Corey Hannum is a leading researcher in human–robot interaction, with a primary focus on the dynamics of trust in collaborative tasks. His work uniquely addresses both sides of the trust equation: how humans trust robots and, more innovatively, how robots can be designed to trust their human partners. In his highly cited 2023 paper, "A Trust-Assist Framework for Human–Robot Co-Carry Tasks" (22 citations), Hannum developed a framework that dynamically adjusts robot assistance based on real-time human trust levels, significantly improving team performance and safety. His earlier foundational work, "Trust or Not?: A Computational Robot-Trusting-Human Model" (2020, 11 citations), pioneered a computational model that enables robots to evaluate human reliability using motion data, a critical and underexplored area in robotics. By bridging the gap between human perception and algorithmic decision-making, Hannum’s research has laid essential groundwork for more intuitive, adaptive, and trustworthy autonomous systems. His contributions are vital for advancing real-world applications where humans and robots must work side-by-side, from manufacturing to healthcare.
Research Focus
Key Achievements
Top Papers
- 1A Trust-Assist Framework for Human–Robot Co-Carry Tasks22 citations · 2023
- 2