Justin Doty

Papers

1

Total Citations

22

H-Index

1

About

Justin Doty’s research sits at the intersection of robotics, healthcare engineering, and human-robot interaction, with a focus on deploying autonomous systems in high-stakes clinical environments. His most-cited work, a 2020 feasibility study on using collaborative robots in simulated COVID-19 patient rooms, demonstrated that robotic systems could safely perform effector tasks—such as adjusting patient beds or delivering supplies—inside intensive care units, reducing healthcare workers’ direct exposure to infectious pathogens. This preliminary experiment, which has garnered 22 citations, laid critical groundwork for integrating robotics into pandemic response and infection control protocols. Doty’s contributions are notable for their practical urgency: by testing robots in realistic, high-risk simulations, he helped bridge the gap between laboratory robotics and real-world clinical needs. His work underscores the potential for automation to alleviate PPE shortages and protect frontline staff during public health crises. For students and researchers exploring healthcare robotics, Doty’s research offers a compelling case study in rapid, problem-driven innovation—showing how existing robotic platforms can be repurposed to meet emergent challenges, from ICU workflows to future pandemic preparedness.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experiments
22 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 13

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago