A novel [P2(US)][P2(US)]atial [P2(US)]arallel mani[P2(US)][P2(US)]lator de[P2(US)]igned to a[P2(US)][P2(US)]emble diagno[P2(US)]tic in[P2(US)]tr[P2(US)]ment[P2(US)] in [P2(US)]G-III i[P2(US)] introd[P2(US)]ced in thi[P2(US)] [P2(US)]a[P2(US)]er. Fir[P2(US)]tly, re[P2(US)]orting to [P2(US)]crew theory, mobility analy[P2(US)]i[P2(US)] i[P2(US)] [P2(US)]re[P2(US)]ented for thi[P2(US)] mani[P2(US)][P2(US)]lator. Then, the inver[P2(US)]e kinematic[P2(US)] [P2(US)]roblem i[P2(US)] determined by the method of R[P2(US)]Y tran[P2(US)]formation with the [P2(US)]ing[P2(US)]larity analyzed. A[P2(US)] a key i[P2(US)][P2(US)][P2(US)]e in [P2(US)]arallel mani[P2(US)][P2(US)]lator[P2(US)], it i[P2(US)] more di c[P2(US)]lt to [P2(US)]olve the forward kinematic[P2(US)] [P2(US)]roblem, [P2(US)]ince it i[P2(US)] highly nonlinear and co[P2(US)][P2(US)]led. In thi[P2(US)] work, three di erent a[P2(US)][P2(US)]roache[P2(US)] are [P2(US)]re[P2(US)]ented to deal with thi[P2(US)] i[P2(US)][P2(US)][P2(US)]e, namely, the back [P2(US)]ro[P2(US)]agation ne[P2(US)]ral network, the [P2(US)]im[P2(US)]li ed ant colony o[P2(US)]timization, and the [P2(US)]ro[P2(US)]o[P2(US)]ed im[P2(US)]roved Newton iterative method. [P2(US)]im[P2(US)]lation of each a[P2(US)][P2(US)]roach i[P2(US)] cond[P2(US)]cted, and their merit[P2(US)] and demerit[P2(US)] are com[P2(US)]ared in detail. It i[P2(US)] concl[P2(US)]ded that the im[P2(US)]roved Newton iterative method, which can [P2(US)]rovide good initial iteration val[P2(US)]e[P2(US)], [P2(US)]how[P2(US)] the be[P2(US)]t [P2(US)]erformance in e[P2(US)]timation of the nonlinear forward kinematic ma[P2(US)][P2(US)]ing of the con[P2(US)]idered [P2(US)]arallel mani[P2(US)][P2(US)]lator.