Computer Vision News 46 Pioneers of Medical Robotics by ShanLin Robotic surgery has been revolutionizing the field of medicine, offering benefits such as faster recovery for patients and improved accessibility to timely treatment, especially in areas with limited medical resources like rural regions. However, achieving greater autonomy in robotic surgery requires a profound understanding and real-time tracking of surgical scenes, which remains an unresolved challenge due to the intricacies of the surgical environment. The surgical scenes present numerous obstacles, including blood, liquids, varying lighting conditions, and deformations. These complexities pose unique challenges for learning-based image or video analysis algorithms, as well as SLAM algorithms that were primarily designed for indoor dynamic environments and autonomous driving. My research, therefore, focuses on tackling these challenges in the domains of robotic perception and manipulation. Shan Lin is a postdoc at the University of California San Diego. Her research interests lie in the integration of perception, motion planning, control, and robotic manipulation, primarily aiming for autonomous robotic surgery and healthcare applications. Shan has been selected as “Pioneer of Medical Robotics” to present her work at the Data vs Model in Medical Robotics Workshop at upcoming IROS 2023, where two stellar doctoral / postdoctoral candidates will present their bodies of work. Her mentor Michael Yip will also speak at the workshop, which is organized by Giovanni Pittiglio, Yash Chitalia and others. What follows is Shan’s Research Statement, which won her one of the two winning spots, the other being claimed by Alaa Eldin Abdelaal.
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