Papers
16
Total Citations
592
H-Index
10
About
Nima Enayati is a prominent robotics researcher whose work sits at the intersection of surgical robotics, human-robot interaction, and haptic feedback systems. He is best known for his highly cited 2016 paper, "Haptics in Robot-Assisted Surgery: Challenges and Benefits" (246 citations), which has become a landmark reference for understanding how tactile feedback can enhance safety and precision in robotic surgical platforms. His research consistently addresses the challenge of making robots more intuitive and collaborative partners for human operators, whether in the operating room or industrial settings. Enayati has made significant contributions to robotic surgical training, developing adaptive, performance-based curricula and assistance-as-needed methodologies that help clinicians acquire complex skills more efficiently. His work on human-like redundancy optimization and skill-based cooperation in teleoperation further demonstrates his commitment to natural, seamless human-robot collaboration. Beyond surgery, he has explored trajectory planning for service robots and the integration of 5G connectivity in industrial robotic systems, reflecting the breadth of his expertise. With over 570 cumulative citations across his published works, Enayati's research has meaningfully shaped how the field approaches the design, control, and training dimensions of collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Haptics in Robot-Assisted Surgery: Challenges and Benefits246 citations · 2016
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- 5Skill-based human–robot cooperation in tele-operated path tracking39 citations · 2017
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- 8Utilizing 5G in Industrial Robotic Applications25 citations · 2019
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