# Computational Design of Skinned Quad-Robots

**Authors:** Xudong Feng, Jiafeng Liu, Huamin Wang, Yin Yang, Hujun Bao, Bernd, Bickel, Weiwei Xu

arXiv: 1907.00893 · 2019-07-02

## TL;DR

This paper introduces a computational system for designing, optimizing, and fabricating quad-robots with soft skins, integrating multibody dynamics and elastic behavior for accurate motion control and practical manufacturing guidance.

## Contribution

It presents a novel integrated design and optimization framework for soft-skinned quad-robots, including a new motion control strategy and fabrication tools, validated through simulations and prototypes.

## Key findings

- Successful simulation of robot dynamics and motion trajectories.
- Fabricated prototype demonstrating system feasibility.
- Efficient optimization scheme reduces computational costs.

## Abstract

We present a computational design system that assists users to model, optimize, and fabricate quad-robots with soft skins.Our system addresses the challenging task of predicting their physical behavior by fully integrating the multibody dynamics of the mechanical skeleton and the elastic behavior of the soft skin. The developed motion control strategy uses an alternating optimization scheme to avoid expensive full space time-optimization, interleaving space-time optimization for the skeleton and frame-by-frame optimization for the full dynamics. The output are motor torques to drive the robot to achieve a user prescribed motion trajectory.We also provide a collection of convenient engineering tools and empirical manufacturing guidance to support the fabrication of the designed quad-robot. We validate the feasibility of designs generated with our system through physics simulations and with a physically-fabricated prototype.

## Full text

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## Figures

19 figures with captions in the complete paper: https://tomesphere.com/paper/1907.00893/full.md

## References

88 references — full list in the complete paper: https://tomesphere.com/paper/1907.00893/full.md

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Source: https://tomesphere.com/paper/1907.00893