Automated design of 4D-printed soft robots

Josh Pinskier, Xing Wang, Lois Liow, Vinoth Viswanathan, David Howard

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

Abstract

Soft robotics, a burgeoning field at the intersection of materials science, robotics, and computer science, has witnessed remarkable advancements in recent years. Among these innovations, 4D printing has emerged as a transformative technology that enables the convenient production of arbitrarily complex and previously unrealizable soft robots, which can reconfigure themselves in response to external stimuli and sense their state and surroundings. Automated design methods are essential to exploring the vast space of possible designs and finding bespoke soft robot designs for specific tasks and environments. This chapter discusses recent developments in automated design methods for 4D-printed soft robots. They combine computer simulation, physical experimentation, and efficient optimization algorithms which exploit 4D printing capabilities and generate efficacious and unique designs unimaginable to human designers.

Original languageEnglish
Title of host publicationSmart Materials in Additive Manufacturing
Subtitle of host publication4D-Printed Robotic Materials, Sensors, and Actuators, Volume 3
EditorsAli Zolfagharian, Mahdi Bodaghi
PublisherElsevier
Pages303-328
Number of pages26
Edition3
ISBN (Electronic)9780443136733
ISBN (Print)9780443136740
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes

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