PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 23, 2026Proceedings of the National Academy of Sciences2 citations

Amphibious passive adaptation in untethered soft robots

View Full Paper
SYShukun YinDYDickson R. YaoIKInho Kim

Key Points

  • The primary aim is to develop a soft robot that can adapt its form passively for efficient movement in various environments.
  • Developed AdaptBot integrating rigid machinery with responsive soft materials.
  • Utilized a photothermal artificial muscle to enable multiple locomotion gaits powered by light.
  • Employed a fast-swelling hydrogel and ratcheting transmission for multimodal mobility.
  • Achieved a 780% increase in swimming speed after fin deployment.
  • Demonstrated capability for rolling, climbing, and paddling across terrestrial and aquatic environments.
  • Enabled efficient operation in unstructured and dynamic settings.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yin et al. (2026) studied this question.

synapsesocial.com/papers/69e9b9a285696592c86ec3c2https://doi.org/10.1073/pnas.2532988123
Ask AI
Helpful
Bookmark
Share
View Full Paper