Alaa Alassi

Bahçeşehir University

Papers

2

Total Citations

15

H-Index

2

About

Alaa Alassi is a robotics researcher whose work focuses on advancing surgical robotics for minimally invasive procedures. His primary research areas include hyper-redundant robotic systems, force/torque sensing, and kinematic design for laparoscopic surgery. Alassi’s most notable contribution is a hybrid method for estimating 6-degree-of-freedom (DOF) tip forces and torques on a hyper-redundant surgical instrument, implemented on an in-house 11-DOF robotic forceps prototype. This work, published in 2019 with 11 citations, addresses a critical challenge in robotic-assisted surgery: providing accurate haptic feedback to surgeons without adding bulky sensors at the instrument tip. Additionally, Alassi developed a redundant, modular, and backdrivable laparoscopic surgery robot, combining a 7-DOF industrial arm with a remote center of motion mechanism. This system, cited 4 times, enhances dexterity and safety in the operating room. Through these innovations, Alassi is helping to make surgical robots more intuitive, precise, and responsive, paving the way for safer and more effective minimally invasive surgeries.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
6-Axis Hybrid Sensing and Estimation of Tip Forces/Torques on a Hyper-Redundant Robotic Surgical Instrument
11 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Bahçeşehir University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago