University of Washington researchers have developed a novel generative design tool for passive grippers - robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks.
Their work proposes using a rapid-manufacturing and design optimization to expand the space of shapes that can be passively grasped. The novel generative design algorithm takes in an object and its positioning with respect to a robotic arm and generates a 3D printable passive gripper that can stably pick the object up.
This could lead to faster builds of end effectors that work on specific pick items.
๐ Paper Page: https://lnkd.in/ex38ke2r
๐ Project Page: https://lnkd.in/ezWy9RWN
#robotics #research #additivemanufacturing
Their work proposes using a rapid-manufacturing and design optimization to expand the space of shapes that can be passively grasped. The novel generative design algorithm takes in an object and its positioning with respect to a robotic arm and generates a 3D printable passive gripper that can stably pick the object up.
This could lead to faster builds of end effectors that work on specific pick items.
๐ Paper Page: https://lnkd.in/ex38ke2r
๐ Project Page: https://lnkd.in/ezWy9RWN
#robotics #research #additivemanufacturing