Max Robotics — Global Service Robot Directory + US Certification

About

Mingqian Ma is advancing the frontier of robot-assisted orthopedic surgery, with a focus on enhancing precision and safety in joint replacement and complex bone procedures. His research centers on surgical navigation, multi-robot coordination, and dynamic registration—critical technologies that bridge the gap between preoperative planning and real-time intraoperative execution. In his highly cited 2023 work on collaborative preoperative planning for a dual-robot orthopedic system, Ma tackles the challenge of limited measurement volume and visual interference in optical tracking, proposing a method to optimize observation poses for more reliable navigation. His 2022 paper introduces a virtual-real bidirectional driving system that synchronizes surgeon manipulations with robotic actions during joint surgeries, addressing the need for adaptable virtual models when patient joints are repositioned intraoperatively. Ma’s 2021 contribution to total knee arthroplasty presents a CT-based dynamic registration technique that improves alignment accuracy between preoperative images and the surgical field. With over 39 citations across these key publications, his work is shaping the next generation of intelligent, collaborative surgical systems, offering tangible improvements in clinical outcomes and operational workflow.