Max Robotics — Global Service Robot Directory + US Certification

About

Kamran Hassani is a biomedical engineer whose research sits at the intersection of spine surgery innovation and robotic teleoperation systems. His primary contributions focus on developing safer, more accurate methods for pedicle screw placement in scoliosis surgery—a procedure where precision is critical to avoid neurological damage. Hassani introduced a medium-invasiveness, multi-level patient-specific template that improves screw placement accuracy while reducing surgical risk, a work that has garnered 24 citations and is foundational in the field of computer-assisted orthopedics. He further advanced the domain with a novel template and teleoperation system for human-guided spine surgery, addressing the limitations of traditional fluoroscopy-guided techniques by enhancing both accuracy and surgeon ergonomics. Beyond spinal applications, Hassani has made notable strides in control theory for bilateral teleoperation systems, proposing a force estimation algorithm that improves transparency and performance in delayed nonlinear environments. His work bridges mechanical design, surgical templating, and haptic feedback control, positioning him as a key figure in the evolution of minimally invasive, robot-assisted surgical technologies.