Download PDFOpen PDF in browserReproducibility of a New Device for Robotic Assisted TKA Surgery6 pages•Published: January 5, 2026AbstractBackground: Achieving optimal implant placement and gap balance is critical in total knee arthroplasty (TKA). Due to the limited precision of traditional instrumentation, technologies like computer-assisted surgery and robotic-assisted TKA have been developed. This experimental cadaveric study aimed to evaluate the accuracy and reproducibility of the Robin robotic system, a collaborative image-free technology, to support its clinical application.Methods: Fifteen cadaveric specimens were treated by eight experienced TKA surgeons, all proficient in computer-assisted TKA but new to the Robin system. After receiving the same standardized training, surgeons used the robotic system, which positions and holds a universal cutting jig while they perform osteotomies. Registration repeatability was assessed by the alignment of cutting block positions with pre-existing pin placements. Bone resections, angles, and axes were analyzed by comparing preoperative planning values with the outcomes measured using a validated navigation system. Results: There were no statistically significant differences between planned and measured resection angles, except for femoral and tibial orientation on the sagittal plane (0.6±0.8° and 0.6±1.0°). Similarly, resection thickness showed minimal deviations, with only the distal medial femoral cut differing by 0.8±0.7 mm. These results were consistent across all first-time users. Conclusions: The Robin robotic system demonstrated high accuracy and reproducibility, closely matching preoperative plans for TKA. Its intuitive design allows surgeons to achieve their planned targets without altering surgical techniques, potentially improving efficiency and outcomes, even in complex cases. Keyphrases: robin system, robotic assisted tka, robotic surgery, tka In: Joshua William Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 25th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 8, pages 9-14.
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