Evidence map›Paper›PMID 42751068›Full record

ReviewCyborg and bionic systems (Washington, D.C.)2026

Energy as a Common Currency for Understanding Embodied Evolution.

Yue Xie, Yi Zhang, Tao Sun, Fumiya Iida

Abstract readReview
In one paragraph

Review in Cyborg and bionic systems (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yue XieDepartment of Computer Science, Loughborough University, Loughborough LE11 3TT, UK.ORCID https://orcid.org/0000-0002-7959-4563
Yi ZhangKey Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Institute for Embodied Intelligence, Tianjin University, Tianjin 300354, China.
Tao SunKey Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Institute for Embodied Intelligence, Tianjin University, Tianjin 300354, China.
Fumiya IidaBio-Inspired Robotics Lab, Department of Engineering, University of Cambridge, Cambridge CB2 1TN, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlike living organisms, which persist by balancing energy intake, expenditure, and maintenance, embodied robots are often evaluated primarily by task performance, even when morphology, control, and environment jointly determine what can be sustained over time. This task-centered evaluation supports engineering benchmarks but can obscure embodied costs, limit comparability across heterogeneous embodiments, and weaken biological interpretation when robots and simulations are used as model systems. This Review synthesizes biological energetics and biomechanics to argue that open-system energy accounting provides a common currency for embodied evolution. Under this framing, adaptive success (fitness) is interpreted as persistence under energetic constraint, enabling commensurate comparison of regulation, structural adaptation, and structural plasticity across environments with different energetic structure. A minimal accounting framework and an illustrative experimental paradigm are presented to show how shared accounting yields interpretable differences between adaptive responses beyond task semantics. This paper concludes by discussing implications for interpreting morphological and control complexity and by outlining open challenges and future directions for energy-aware embodied evolution using robots as controlled platforms for biology-facing hypothesis testing.

Identifiers

PMID42751068
PMCPMC13579111

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.