Anestis Mablekos-Alexiou

Wellcome / EPSRC Centre for Interventional and Surgical Sciences

Papers

Total Citations

H-Index

About

Anestis Mablekos-Alexiou is a robotics researcher specializing in the dynamic modeling and control of robotic systems, with a particular focus on surgical applications and transmission mechanics. His work bridges the gap between theoretical dynamics and practical robotic design, addressing critical challenges in precision and actuation. His most influential contribution, "Friction-Inclusive Modeling of Sliding Contact Transmission Systems in Robotics" (2021, 16 citations), introduces a unified mathematical framework for modeling friction in robotic drives—specifically worm and screw-based transmissions—enabling more accurate dynamic simulations and improved motor selection. This work is foundational for designing robots that require high torque and precise motion control. In another notable study, "Requirements Based Design and End-to-End Dynamic Modeling of a Robotic Tool for Vitreoretinal Surgery" (2018, 12 citations), Mablekos-Alexiou tackles the underexplored area of dynamic modeling in surgical robotics. By providing a complete end-to-end model, he enables better motor sizing and advanced control strategies essential for micro-precise vitreoretinal procedures. His research has direct implications for enhancing the safety and accuracy of robot-assisted surgery, making him a key contributor to the advancement of medical robotics and mechatronic system design.