About

Hamed Saeidi is a pioneering robotics researcher whose work spans autonomous surgical robotics, human-robot collaboration, and trust-based control systems. He is best known for his groundbreaking contributions to autonomous robotic surgery, most notably his landmark 2022 paper on autonomous robotic laparoscopic intestinal anastomosis, which has garnered an impressive 346 citations and represents a significant milestone in demonstrating that complex soft-tissue surgical procedures can be performed autonomously with reliability independent of individual surgeon skill. His earlier work on autonomous laparoscopic suturing and supervised electrosurgery further established his expertise in solving the intricate challenges of soft-tissue tracking and surgical planning in constrained environments. Equally significant is Saeidi's foundational research in human-robot trust and collaborative systems. His multiple publications on computational trust modeling, mixed-initiative teleoperation, and confidence-based shared control—collectively accumulating hundreds of citations—have shaped how researchers conceptualize autonomy allocation in human-robot teams across both manufacturing and medical contexts. His 2021 work on autonomous COVID-19 pulmonary ultrasound imaging further demonstrates his ability to translate core robotics principles into urgent clinical applications. Altogether, Saeidi's research establishes him as a leading voice at the intersection of autonomous robotics, surgical automation, and human-machine collaboration.

Research Focus

Key Achievements

14
H-Index
25
Papers
882
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous robotic laparoscopic surgery for intestinal anastomosis
346 citations · 2022
📈 Most Prolific Year: 2019 (6 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: Johns Hopkins University, Clemson University, University of Maryland, College Park, University of North Carolina Wilmington, University of Maryland, Baltimore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago