Robot metabolism: Toward machines that can grow by consuming other machines

Biological lifeforms can heal, grow, adapt, and reproduce, which are 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 artificial intelligence, 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.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-07-16
DOI
https://doi.org/10.1126/sciadv.adu6897
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robot metabolism: Toward machines that can grow by consuming other machines

Judah Goldfeder, Donghan Kim, Hod Lipson, Pranav Jhunjhunwala et al.
2 citations
Science Advances
Modular Robots and Swarm Intelligence
1.43
article

Robot metabolism: Toward machines that can grow by consuming other machines

Judah Goldfeder, Donghan Kim, Hod Lipson, Pranav Jhunjhunwala, Philippe Martin Wyder, Yuhang Hu, Robert T. Kasumi, Jiahao Wu, Priya Patel, Meiqi Zhao, Omer Mustel, Quinn A. Booth, Siddharth Bhutoria, Riyaan Bakhda, Nihar Niraj Garg, Simon Kang, Evan H. Tong, A.H. Song, David Yi, Matthew E. Modi
article en
2 citations

Abstract

Biological lifeforms can heal, grow, adapt, and reproduce, which are 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 artificial intelligence, 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.

Science AdvancesVol. 11(29)
Columbia University (US)
Responsible consumption and production
Openalex Percentile: Top 19%
Modular Robots and Swarm Intelligence
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.