Papers

15

Total Citations

413

H-Index

8

About

Oscar Nasisi is a robotics researcher whose work has made significant contributions to the fields of visual servoing, adaptive robot control, and human-robot interaction. His most influential contribution, "Stable Visual Servoing of Camera-in-Hand Robotic Systems" (2000), has garnered over 240 citations and established foundational control strategies for robots equipped with onboard cameras, enabling precise manipulation through image-based feedback. Building on this work, Nasisi advanced the field further with adaptive control frameworks that account for dynamic uncertainties in robot and payload systems, demonstrated through papers such as "Adaptive Servo Visual Robot Control" (2003, 51 citations) and "Adaptive Robot Control with Visual Feedback" (2005). Nasisi's research extends beyond industrial manipulation, encompassing mobile robotics and assistive technologies. His work on corridor navigation for autonomous guided vehicles and vision-based interfaces for robotic wheelchairs and assistive robots reflects a commitment to practical, human-centered applications. Notably, he pioneered the integration of force and visual control in industrial settings, combining impedance control with visual servoing to enhance robustness. With a career spanning over a decade of impactful publications, Nasisi's cumulative contributions have shaped both theoretical foundations and real-world applications in intelligent robotics.

Research Focus

Key Achievements

8
H-Index
15
Papers
413
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Stable visual servoing of camera-in-hand robotic systems
241 citations · 2000
📈 Most Prolific Year: 2002 (5 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: National University of San Juan, University of Puerto Rico System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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