This Symposium invites professionals, researchers, and enthusiasts to explore the synergies between engineering and medicine. The event focuses on revealing the transformative impact of robotics in various biomedical facets. The aim is to unite researchers from diverse domains, emphasizing surgical robotics, virtual-reality simulation, precision engineering, and autonomy, fostering collaboration for innovation.
Since 2018, the KTH Royal Institute of Technology and the University of Tokyo have collaboratively focused on biomedical robotics. Professors Mitsuishi, Harada, and Archenti initiated this effort to improve the accuracy and precision of surgical robotics. This collaboration encompassed innovative calibration methods for robots, especially considering the system's stiffness. The pursuit of accuracy and autonomy responds to the demand for medical technology advancements, where precision is key for achieving optimal outcomes in complex surgical procedures.
The collaboration between institutions like KTH and UTokyo speaks for a global effort to advance robotics in biomedical applications. Researchers and professionals aim to leverage robotics for improved patient outcomes, increased precision and autonomy in medical procedures, and addressing healthcare delivery challenges.
This symposium will be held at UTokyo following The First Symposium, which was successfully held at KTH on June 17, 2024. This symposium will also be held as part of The University of Tokyo and the Stockholm Trio (Stockholm University, The Royal Institute of Technology (KTH) and Karolinska Institute) Workshops.
Involving measurement, identification, instrument design, and performance evaluation of robots for medical applications
Involving tools, methods (e.g., digital twins), and control systems that support both the robot and the operator in training and performing surgical skills.
Encompassing how AI can enable precision-surgery technologies to full autonomy levels in cases such as fixed targets or soft tissues that are difficult to manipulate to reduce medical errors and improve diagnostic capabilities.
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