Amro Khasawneh
Papers
2
Total Citations
84
H-Index
2
About
Amro Khasawneh is a leading researcher in human-robot interaction, with a focus on the critical challenges of teleoperation and multi-robot systems. His work centers on understanding how latency—the delay between a human operator’s command and a robot’s response—affects performance, trust, and workload in high-stakes environments. In his highly cited 2018 study on human adaptation to latency in teleoperated multi-robot search and rescue teams (73 citations), Khasawneh demonstrated that operators can adapt their strategies to mitigate the negative effects of delay, a finding with profound implications for disaster response and remote exploration. His earlier 2017 investigation (11 citations) systematically examined how latency degrades operator trust and task efficiency, establishing foundational metrics for designing more resilient human-agent teams. By quantifying the interplay between technical constraints and human cognitive limits, Khasawneh’s work has shaped the development of adaptive interfaces and training protocols for teleoperation. His research is essential reading for anyone designing or deploying robotic systems where split-second decisions and reliable human-robot collaboration are paramount.
Research Focus
Key Achievements
Top Papers
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