Inouye Joshua M, Kutch Jason J, Valero-Cuevas Francisco J
Department of Biomedical Engineering, University of Southern California, CA 90089 USA (
IEEE Trans Robot. 2012 Aug;28(4):958-966. doi: 10.1109/TRO.2012.2196189. Epub 2012 May 22.
We propose a complete methodology to find the full set of feasible grasp wrenches and the corresponding wrench-direction-independent grasp quality for a tendon-driven hand with arbitrary design parameters. Monte Carlo simulations on two representative designs combined with multiple linear regression identified the parameters with the greatest potential to increase this grasp metric. This synthesis of computational approaches now enables the systematic design, evaluation, and optimization of tendon-driven hands.
我们提出了一种完整的方法,用于为具有任意设计参数的肌腱驱动手找到全套可行的抓取扳手以及相应的与扳手方向无关的抓取质量。对两种代表性设计进行的蒙特卡罗模拟与多元线性回归相结合,确定了对提高这种抓取指标最具潜力的参数。这种计算方法的综合现在能够对肌腱驱动手进行系统的设计、评估和优化。