Robot Metabolism: Towards machines that can grow by consuming other machines
Not on the map. Why?
Abstract (arXiv)
Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or incorporate material from their environments. While robot minds rapidly evolve new behaviors through AI, their bodies remain closed systems, unable to systematically integrate material to grow or heal. We argue that open-ended physical adaptation is only possible when robots are designed using a small repertoire of simple modules. This allows machines to mechanically adapt by consuming parts from other machines or their surroundings and shed broken components. We demonstrate this principle on a truss modular robot platform. We show how robots can grow bigger, faster, and more capable by consuming materials from their environment and other robots. We suggest that machine metabolic processes like those demonstrated here will be an essential part of any sustained future robot ecology.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2026: 1.
1 paper.
- 2026Evidence of an Emergent "Self" in Continual Robot Learning25 Mar 2026