Mehran Andalibi

Papers

Total Citations

H-Index

About

Mehran Andalibi is a robotics researcher whose work centers on adaptive control systems and autonomous robotic manipulation for surgical and space applications. His research addresses two critical domains: enhancing precision in minimally invasive surgery and advancing robotic autonomy for extraterrestrial exploration. In his 2015 study on predictive model reference adaptive controllers, Andalibi developed a method to compensate for heart motion during minimally invasive coronary artery bypass grafting (CABG) surgery, a contribution that aims to stabilize surgical instruments against a moving target. More recently, his 2022 work on RGB-D robotic pose estimation for servicing robotic arms tackles the challenges of autonomous manipulation in space environments. This research supports NASA's vision for lunar and Martian missions, where robotic arms must operate safely alongside human astronauts. While his citation counts are currently modest—2 citations each—his work sits at the intersection of surgical robotics and space automation, two rapidly growing fields. Andalibi’s contributions are particularly relevant as space agencies push toward human-robot collaboration in off-world settings, where redundancy and precision are paramount.