Max Robotics — Global Service Robot Directory + US Certification

About

Oluwatosin Alabi is a leading researcher at the intersection of computer vision and surgical robotics, with a primary focus on advancing computer-assisted interventions through intelligent tool perception. His work addresses critical challenges in minimally invasive surgery, particularly in laparoscopic and endoscopic procedures. Alabi’s major contributions include the creation of CholecInstanceSeg, a comprehensive dataset for tool instance segmentation in laparoscopic surgery, which has already garnered 12 citations since its 2025 release. This dataset fills a crucial gap by providing detailed annotations for precise tool identification, enabling safer and more autonomous surgical systems. He also pioneered text promptable surgical instrument segmentation using vision-language models, a novel approach that allows surgeons to query specific tools by name, achieving 8 citations for its 2023 paper. This work redefines how machines understand surgical scenes by integrating natural language cues. Additionally, Alabi contributed to the PhaKIR 2024 challenge, a comparative validation of surgical phase recognition and instrument tracking, which has already influenced the field with 2 citations. His research is foundational for the next generation of context-aware surgical robots, making him a rising star in medical AI.