![]() ![]() They then integrated the non-structural subsystems and rapidly iterated to identify the best lattice infill. The ADDITIVE INTELLIGENCE team opted to apply a variable shell based on topology optimization. At the same time, the external form factor of the new robot head had to remain unaltered, and this multifunctional component had to house the embedded channels of the pneumatic system and the end effector’s electrical components. ![]() The team was tasked with maximizing the stiffness-to-weight ratio of this component to improve handling precision and reduce manufacturing costs. The new design is 62% lighter, has 60% fewer components, and improves the handling precision of the robot by a factor of 16x. The engineers of DMG MORI’s ADDITIVE INTELLIGENCE team redesigned the Robo2Go head for additive manufacturing using nTopology.
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