ArticlePloS one2015
Morphological Evolution of Physical Robots through Model-Free Phenotype Development.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Soft touchless sensors and touchless sensing for soft robots.Frontiers in robotics and AI · 2024Review
- Efficient automatic design of robots.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines.Biomimetics (Basel, Switzerland) · 2023Article
- Artificial evolution of robot bodies and control: on the interaction between evolution, learning and culture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- The science of soft robot design: A review of motivations, methods and enabling technologies.Frontiers in robotics and AI · 2022Article
- From the lab to the field with Evolutionary Field Robotics.Frontiers in robotics and AI · 2022Article
- Real-World Robot Evolution: Why Would it (not) Work?Frontiers in robotics and AI · 2021Review
- MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics.Frontiers in robotics and AI · 2021Article
- EMERGE Modular Robot: A Tool for Fast Deployment of Evolved Robots.Frontiers in robotics and AI · 2021Article
- Robot Evolution: Ethical Concerns.Frontiers in robotics and AI · 2021Review
- Review
- Lamarckian Evolution of Simulated Modular Robots.Frontiers in robotics and AI · 2019Article
- BioGD: Bio-inspired robust gradient descent.PloS one · 2019Article
- Article
- Embodied Evolution in Collective Robotics: A Review.Frontiers in robotics and AI · 2018Review
- Article
- Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective.Interface focus · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial evolution of physical systems is a stochastic optimization method in which physical machines are iteratively adapted to a target function. The key for a meaningful design optimization is the capability to build variations of physical machines through the course of the evolutionary process. The optimization in turn no longer relies on complex physics models that are prone to the reality gap, a mismatch between simulated and real-world behavior. We report model-free development and evaluation of phenotypes in the artificial evolution of physical systems, in which a mother robot autonomously designs and assembles locomotion agents. The locomotion agents are automatically placed in the testing environment and their locomotion behavior is analyzed in the real world. This feedback is used for the design of the next iteration. Through experiments with a total of 500 autonomously built locomotion agents, this article shows diversification of morphology and behavior of physical robots for the improvement of functionality with limited resources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.