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20242026
most citedIn vivo feasibility study of humanoid robots in surgery

1 citations · 1 across the 6 of their papers we have counts for

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cs.RO20261 cited

In vivo feasibility study of humanoid robots in surgery

Zekai Liang, Nikita Thareja, Peihan Zhang +7

Recent advances in actuation, control and learning have rapidly pushed humanoid robots from a distant vision towards near-term real-world deployment. Healthcare is a particularly p…

cs.RO2026

Real-time Rendering-based Surgical Instrument Tracking via Evolutionary Optimization

Hanyang Hu, Zekai Liang, Florian Richter +1

Accurate and efficient tracking of surgical instruments is fundamental for Robot-Assisted Minimally Invasive Surgery. Although vision-based robot pose estimation has enabled marker…

cs.RO2025

Efficient Surgical Robotic Instrument Pose Reconstruction in Real World Conditions Using Unified Feature Detection

Zekai Liang, Kazuya Miyata, Xiao Liang +2

Accurate camera-to-robot calibration is essential for any vision-based robotic control system and especially critical in minimally invasive surgical robots, where instruments condu…

cs.RO2025

LapSurgie: Humanoid Robots Performing Surgery via Teleoperated Handheld Laparoscopy

Zekai Liang, Xiao Liang, Soofiyan Atar +7

Robotic laparoscopic surgery has gained increasing attention in recent years for its potential to deliver more efficient and precise minimally invasive procedures. However, adoptio…

cs.RO2025

Differentiable Rendering-based Pose Estimation for Surgical Robotic Instruments

Zekai Liang, Zih-Yun Chiu, Florian Richter +1

Robot pose estimation is a challenging and crucial task for vision-based surgical robotic automation. Typical robotic calibration approaches, however, are not applicable to surgica…

cs.RO2024

CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera

Jingpei Lu, Zekai Liang, Tristin Xie +4

Camera-to-robot calibration is crucial for vision-based robot control and requires effort to make it accurate. Recent advancements in markerless pose estimation methods have elimin…