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Rank Partitioning Algorithm for Multi-Objective Design Optimization of Soft Growing Robots

A method for automatically choosing the physical dimensions of a soft growing robot manipulator so it can reach targets in three-dimensional space. Students learn how the design task is cast as a multi-objective optimization over a kinematic chain solved with evolutionary computation, and how the Rank Partitioning algorithm ranks candidate designs across competing objectives to improve target-reaching precision and resource efficiency.

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Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments

Soft growing robots are novel devices that mimic plant-like growth for navigation in cluttered or dangerous environments. Their ability to adapt to surroundings, combined with advancements in actuati…