Lightweight robot end effector with topology optimization

The gripper is the most common end effector, allowing robots to pick up and manipulate objects. However, grippers are often bulky and heavy, requiring strong motors to perform even routine tasks.

In this nTop Live, Yuki Okada, Technical Marketing Engineer at nTop, shows you how to lightweight a gripper using topology optimization to improve control without sacrificing structural integrity. First, he sets up the topology optimization model by defining load cases and adding constraints to make it lighter while still maintaining its structural integrity. Then, he applies lattices on the struts to reduce the risk of buckling to make the part more stiff and durable.

Watch and learn how to:

• Set up a model for topology optimization
• Post-process a raw topology optimization result
• Use the topology optimization result and increase stiffness in certain areas by applying lattices

Download the files

Recreate the steps that Yuki followed in this nTop Training. To download all the necessary files for this training, please see this link.