Biohybrid Tendons Enhance the Power‐to‐Weight Ratio and Modularity of Muscle‐Powered Robots
Biohybrid robots powered by tissue engineered skeletal muscle have historically relied on architectures in which muscle actuators are placed directly on skeletons, thus limiting the accessible design space for such machines. By contrast, native musculoskeletal architecture relies on tendons to bridge the interface between muscles and skeletons, enabling precise, space-efficient, and energy-efficient force transmission. In this study, a mathematical model of the muscle-tendon-skeleton interface is used to design a biohybrid muscle-tendon unit composed of tissue engineered muscle coupled to adhesive tough hydrogel tendons. It is demonstrated that tuning tendon stiffness and pre-tension optimizes actuator performance, and tuning skeleton stiffness modulates force transmission from muscles to skeletons, with fatigue characteristics measured over > 7000 cycles. Furthermore, an ≈11X improvement in power-to-weight ratio of muscle-tendon units is demonstrated compared to previous demonstrations of robots powered by muscles alone. This work validates a robust approach for designing, manufacturing, and deploying muscle-tendon actuators that promises to enhance the modularity and efficiency of biohybrid robots.
Authors
- Martin L. Culpepper
- Ritu Raman (ORCID: https://orcid.org/0000-0001-8657-9815)
- Nicolas Castro
- Ronald H. Heisser (ORCID: https://orcid.org/0000-0003-4551-9941)
- Sarah J. Wu (ORCID: https://orcid.org/0000-0003-1755-6454)
- Qi He (ORCID: https://orcid.org/0000-0001-5769-6713)
- Angel Bu (ORCID: https://orcid.org/0000-0001-7639-9482)
- Maheera Bawa (ORCID: https://orcid.org/0009-0007-5983-3647)
- Laura Rosado
- Sonika Kohli
- Bastien Aymon
- Annika Marschner
Institutions
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-30
- DOI
- https://doi.org/10.1002/advs.202512680
- Citations
- 1
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- National Science Foundation
- U.S. Department of Defense
- Army Research Office