Max Robotics — Global Service Robot Directory + US Certification

About

Der-Lin Chow is a robotics and computer vision researcher whose work sits at the intersection of autonomous systems and minimally invasive surgery. His research has focused primarily on advancing robotic-assisted surgical automation, with particular emphasis on suture thread tracking, autonomous knot-tying, and intelligent control systems for surgical robots such as the da Vinci platform. Chow's most cited contribution, "Real-Time Visual Tracking of Dynamic Surgical Suture Threads" (2017, 43 citations), exemplifies his central pursuit: enabling surgical robots to move beyond passive teleoperation toward active, perceptive assistance. His earlier work on vision-guided knot-tying methods (2013, 33 citations; 2014, 23 citations) demonstrated how stereo camera systems and 3D position reconstruction could be harnessed to automate one of surgery's most technically demanding tasks. Complementing these efforts, his research into trajectory optimization and supervisory control has addressed the practical challenges of confined surgical workspaces and complex robot kinematics. With over 140 cumulative citations across his published work, Chow has made meaningful contributions to the goal of reducing surgeon fatigue, improving procedural precision, and expanding the autonomy of robotic surgical systems — challenges that remain central to the future of operating room technology.