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As deep-sea sediment has a higher water content and lower shear strength than land-based soil, mining with crawler mineral collectors is liable to result in slipping and reduced efficiency. Bionic principles that mimic unique animal structures are widely used to solve such engineering problems, the profile of a buffalo hoof having proved key to optimising paddy-field tractors. A rate-dependent extended Drucker-Pager model is used to define the deep-sea sediment and an arbitrary Lagrange-Euler finite-element model to simulate the cutting of different bionic grousers at different speeds. The maximum traction is shown to be related to the curvature change point and curvature radium of the grouser; a binary quadratic regression equation between maximum traction and grouser parameters is established and the best paramters obtained by an optimisation algorithm., As deep-sea sediment has a higher water content and lower shear strength than land-based soil, mining with crawler mineral collectors is liable to result in slipping and reduced efficiency. Bionic principles that mimic unique animal structures are widely used to solve such engineering problems, the profile of a buffalo hoof having proved key to optimising paddy-field tractors. A rate-dependent extended Drucker-Pager model is used to define the deep-sea sediment and an arbitrary Lagrange-Euler finite-element model to simulate the cutting of different bionic grousers at different speeds. The maximum traction is shown to be related to the curvature change point and curvature radium of the grouser; a binary quadratic regression equation between maximum traction and grouser parameters is established and the best paramters obtained by an optimisation algorithm.