Nature, 2026
Zekai Liang, Nikita Thareja, Peihan Zhang, Calvin Joyce, Soofiyan Atar, Florian Richter, Garth Jacobsen, Shanglei Liu, Ryan Broderick, Michael Yip
Project Website: https://humanoid-surgeon.github.io/#
Abstract: Recent advances in actuation, control and learning have rapidly pushed humanoid robots from a distant vision towards near-term real-world deployment1–18. Healthcare is a particularly pressing domain, in which staffing shortages and increasing care demand are widening the gap between clinical workload and available skilled labour19–21. Although current automation has largely focused on digital and logistical tasks22, much hospital work remains embodied, requiring mobility, manipulation and safe interaction in human-designed environments. Humanoid form factors offer unique potential, particularly for assisting with surgical tasks. Traditionally, robotic systems for surgery are purpose-built platforms such as the da Vinci Surgical System of Intuitive Surgical23,24 , and it remains unclear how close current humanoid systems are to meeting the precision, control and safety requirements of minimally invasive surgery. Here we present a systematic evaluation of contemporary humanoid technology for laparoscopic surgical tasks. We develop a humanoid-based laparoscopic teleoperation framework using general-purpose instruments and assess its abilities through benchtop characterization, dry-lab user studies spanning diverse surgical experience levels and invivo porcine studies. Across these evaluations, we quantify technical feasibility, task performance and clinical readiness relative to established surgical platforms. Together, our study provides an evidence-based assessment of current humanoid abilities and limitations for surgical applications, highlighting both their promise and key technical challenges that must be addressed before clinical deployment.
Liang et al. (2026) In vivo feasibility study of humanoid robots in surgery, Nature, pp. 10.1038/s41586-026-10796-x.