Papers
15
Total Citations
337
H-Index
9
About
Tina Mioch is a leading researcher in human-robot teaming, with a particular focus on disaster response, urban search and rescue (USAR), and human-centered system design. Her work sits at the intersection of robotics, cognitive engineering, and human factors, addressing the complex challenge of integrating autonomous systems into high-stakes, real-world environments. Mioch's most significant contributions emerged from the EU-funded NIFTi project, where she helped design and deploy collaborative robotic systems supporting first responders in disaster scenarios. Her most-cited paper (88 citations) examines system design methodology for human-robot teams in USAR contexts, while closely related work (71 citations) documents practical lessons from field deployments — research that has become foundational for practitioners in the field. Beyond deployment, Mioch has made notable theoretical contributions, developing frameworks for dynamic task allocation, adaptive cooperation through work agreements, and multimodal operator interfaces that enhance human situation awareness. Her interaction design patterns work further demonstrates a commitment to reusable, scalable design knowledge across multidisciplinary teams. With over 310 cumulative citations, Mioch's research has measurably shaped how robotics communities approach the human side of disaster robotics, making her an essential voice for students and researchers exploring autonomous systems in safety-critical domains.
Research Focus
Key Achievements
Top Papers
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- 5Experience in system design for human-robot teaming in urban search & rescue21 citations · 2025
- 6Persistent Robot-Assisted Disaster Response18 citations · 2018
- 7Dynamic Task Allocation for Human-robot Teams17 citations · 2015
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- 9Improving Adaptive Human-Robot Cooperation through Work Agreements11 citations · 2018
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