Amphibious passive adaptation in untethered soft robots
Abstract
Mobile robots are increasingly deployed in diverse settings, ranging from logistic and household applications to ecological monitoring and operation in extreme environments. In these contexts, robots must traverse diverse terrains, yet most existing designs rely on fixed morphologies that limit efficiency across domains. Biomimetic solutions emulate natural forms but cannot fully exploit engineered mechanisms, while active adaptive architectures typically require complex electronics and incur substantial energy costs. Inspired by amphibians and reptiles, we developed AdaptBot, an untethered adaptive soft robot that integrates rigid machinery with responsive soft materials to achieve passive reconfiguration for amphibious locomotion. AdaptBot employs a single bioinspired photothermal artificial muscle (PAM) to power multiple gaits by light, a fast and large swelling hydrogel (FLASH) to drive passive fin deployment in water, and a ratcheting transmission to convert reciprocating PAM motion into forward locomotion. These elements enable multimodal performance—including rolling, load-carrying, climbing, and paddling—under wireless control across terrestrial, aquatic, and transitional environments. Remarkably, following fin deployment, AdaptBot’s swimming speed increased by 780%, demonstrating that passive adaptation is an effective strategy to enhance locomotor efficiency in robots operating in unstructured and dynamic environments.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (14)
Shukun Yin
Division of Engineering and Applied Science, California Institute of Technology
Dickson R. Yao
Division of Engineering and Applied Science, California Institute of Technology
Inho Kim
Division of Engineering and Applied Science, California Institute of Technology
Wenjie Zhou
Wenzheng Heng
Division of Engineering and Applied Science, California Institute of Technology
Wenjian Li
Division of Engineering and Applied Science, California Institute of Technology
Songsong Tang
Division of Engineering and Applied Science, California Institute of Technology
Xiaotian Ma
Division of Engineering and Applied Science, California Institute of Technology
Yadong Xu
Division of Engineering and Applied Science, California Institute of Technology
Gwangmook Kim
Division of Engineering and Applied Science, California Institute of Technology
Hong Han
Kexin Fan
Division of Engineering and Applied Science, California Institute of Technology
Chiara Daraio
Wei Gao