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Friedrich- Alexander-University, -in-the-loop (CeTI), Centre for Tactile Internet with Human, University Hospital Carl Gustav Carus, Dresden University of Technology
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Achieving 100% success in autonomous clip positioning, this robotic system redefines precision in laparoscopic surgery with minimal data requirements.
LAR-MoE unlocks structured expert specialization in robotic imitation learning from unlabeled demonstrations, rivaling supervised methods without needing manual phase annotations.
Ditch the da Vinci: this open-source surgical robotics platform brings precision and flexibility to autonomous laparoscopic procedures using standard industrial robots.
A new dataset of paired endoscopic video and structured-light geometry offers a much-needed benchmark for 4D reconstruction of deforming soft tissue in surgical settings.
