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| | lambdas.__doc__ |
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| | lambdas.adj = lambda nu: np.bmat([[ skew(nu[3:]),skew(nu[:3])],[zero([3,3]),skew(nu[3:])]]) |
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| | lambdas.adjdual = lambda nu: np.bmat([[ skew(nu[3:]),zero([3,3])],[skew(nu[:3]),skew(nu[3:])]]) |
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| list | lambdas.ancestors = 0 else ancestors(robot.model.parents[j],robot,[j,]+res) |
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| | lambdas.descendants = lambda root,robot: robot.model.subtrees[root] |
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| | lambdas.Fcross = lambda x,y: Motion(x).cross(Force(y)).vector |
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| | lambdas.FCross = lambda V,f: np.bmat([ Fcross(V[:,i],f) for i in range(V.shape[1]) ]) |
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| | lambdas.iv |
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| | lambdas.Mcross = lambda x,y: Motion(x).cross(Motion(y)).vector |
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| | lambdas.MCross = lambda V,v: np.bmat([ Mcross(V[:,i],v) for i in range(V.shape[1]) ]) |
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| | lambdas.parent = lambda i,robot: robot.model.parents[i] |
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| | lambdas.quad = lambda H,v: np.array(td(td(H,v,[2,0]),v,[1,0])) |
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| | lambdas.td = np.tensordot |
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