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Redundancy optimization strategy for hands-on robotic surgery.

机译:实践机器人手术的冗余优化策略。

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摘要

During hands-on cooperative surgery, the use of a redundant robot allows to address encumbrance issues in the Operating Room (OR), which can occur due to the presence of large medical instrumentation, such as the surgical microscope. This work presents a new Null Space Optimization (NSO) strategy to constraint the position of the manipulator's elbow within predefined range of motions, according to the spatial requirements of the specific procedure, also taking into account the physical joint limits of the robotic assistant. The proposed strategy was applied to the 7 degrees of freedom (dof) lightweight robot LWR4+. The performance of the NSO was compared to two state-of-the-art null space optimization strategies, i.e. damped posture and fixed optimal posture, over a pool of three non-expert users in both strict (20deg) and negligible (100deg) angular encumbrance limitations. The NSO strategy was proved versatile in providing wide elbow mobility together with safe distance from relevant continuity null space boundaries, guaranteeing smooth guidance trajectories. Future works would be performed in order to evaluate the potential feasibility of NSO in a real surgical scenario.
机译:在动手合作手术期间,使用冗余机器人允许解决手术室(或)中的承受问题,这可能由于存在大型医疗仪器,例如手术显微镜而发生。根据具体程序的空间要求,这项工作提出了一个新的空空间优化(NSO)策略,以限制在预定的运动范围内的预定义的运动范围内的位置,也考虑到机器人助手的物理关节限制。拟议的策略适用于7度自由(DOF)轻量级机器人LWR4 +。将NSO的性能与两种最先进的空间优化策略进行比较,即阻尼姿势和固定的最佳姿势,在严格(20deg)的三个非专家用户中,忽略(100deg)角度担保限制。通过从相关连续性空间边界的安全距离以及安全距离,证明了NSO策略在提供了宽肘部移动性方面,提供了宽敞的肘部流动性。将进行未来的作品,以便在真正的手术场景中评估NSO的潜在可行性。

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