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Daniel Elson

3 accepted papers

2026

Overcoming Imperfect Kinematics in Surgical Robotics through Sim-To-Real Visuomotor Learning

ICRA 2026poster

Robot-Assisted Surgery is integral to modern minimally invasive procedures, with automation emerging as the next frontier to enhance precision and reduce surgeon fatigue. This evolution is largely impeded by the inherent kinematic inaccuracies of surgical robots, where unreliable internal sensors le…

2026

SurgCUT3R: Surgical Scene-Aware Continuous Understanding of Temporal 3D Representation

ICRA 2026poster

The reconstruction of surgical scenes from monocular endoscopic video is crucial for advancing robotic-assisted surgery, but applying state-of-the-art general-purpose reconstruction models is hindered by a severe lack of supervised training data and performance degradation over long sequences. To ad…

2022

Towards Autonomous Control of Surgical Instruments using Adaptive-Fusion Tracking and Robot Self-Calibration

IROS 2022poster

The ability to track surgical instruments in realtime is crucial for autonomous Robotic Assisted Surgery (RAS). Recently, the fusion of visual and kinematic data has been proposed to track surgical instruments. However, these methods assume that both sensors are equally reliable, and cannot successf…

Cited by 8SourceScholar