Evolving embodied intelligence from materials to machines

@article{Howard2019EvolvingEI,
  title={Evolving embodied intelligence from materials to machines},
  author={David Howard and Agoston E. Eiben and Danielle Frances Kennedy and Jean-Baptiste Mouret and Philip Valencia and Dave Winkler},
  journal={Nature Machine Intelligence},
  year={2019},
  volume={1},
  pages={12-19}
}
Natural lifeforms specialize to their environmental niches across many levels, from low-level features such as DNA and proteins, through to higher-level artefacts including eyes, limbs and overarching body plans. We propose ‘multi-level evolution’, a bottom-up automatic process that designs robots across multiple levels and niches them to tasks and environmental conditions. Multi-level evolution concurrently explores constituent molecular and material building blocks, as well as their possible… 
Multi-Level Evolution for Robotic Design
TLDR
The results strongly support the initial claims for the benefits of MLE, allowing for the discovery of designs that would otherwise be difficult to achieve with conventional design paradigms.
Algorithmic Design for Embodied Intelligence in Synthetic Cells
TLDR
This approach computes an idealized, unconstrained control policy which is projected onto a limited selection of sensors and actuators in a given library, resulting in intelligence that is distributed away from a central processor and instead embodied in the physical body of a robot.
Editorial: Evolving Robotic Morphologies
TLDR
This Research Topic called for contributions that illustrate and discuss innovative methods, technologies, software, and philosophical viewpoints that advance the field of evolving robotic morphologies that allow researchers to operate in this rapidly-developing scientific field.
From Bioinspiration to Computer Generation: Developments in Autonomous Soft Robot Design
The emerging field of soft robotics presents a new paradigm for robot design in which “precision through rigidity” is replaced by “cognition through compliance.” Lightweight and flexible, soft robots
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
TLDR
Contrary to viewing embodied intelligence as another application domain for machine learning, here it is argued that it is in fact a key driver for the advancement of machine learning technology.
Automating Collective Robotic System Design
TLDR
Results suggest that such developmental encoding methods could serve as a general evolutionary simulation design tool for automating collective robotic designs and for such collective robotic system designs to be rapidly prototyped and deployed in the physical task environments for which they were evolved.
Diversity-based design assist for large legged robots
We combine MAP-Elites and highly parallelisable simulation to explore the design space of a class of large legged robots, which stand at around 2m tall and whose design and construction is not
Lamarckian Evolution of Simulated Modular Robots
TLDR
The possibility of bootstrapping infant robot learning through employing Lamarckian inheritance of parental controllers is investigated, and it is observed that changing the way controllers are evolved also impacts the evolved morphologies.
Evolution of Diverse, Manufacturable Robot Body Plans
TLDR
A representation for evolving (wheeled) robots with a printed plastic skeleton is introduced, and three variants of a novelty-search algorithm are evaluated in terms of their ability to produce populations of manufacturable but diverse robots.
Environmental influences on evolvable robots
TLDR
This paper evolves (simulated) modular robots under diverse environmental conditions and analyzes the influences that these conditions have on the evolved morphologies, controllers, and behavior to gain deeper insights into the effect of the environment on a robotic evolutionary process.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 100 REFERENCES
Interoceptive robustness through environment-mediated morphological development
TLDR
Robustness can be achieved by evolving the geometry of soft robots, their control systems, and how their material properties develop in response to one particular interoceptive stimulus (engineering stress) during their lifetimes.
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding
TLDR
The ability of generative soft-voxel systems to scale towards evolving a large diversity of complex, natural, multi-material creatures is suggested.
The Triangle of Life
TLDR
This paper introduces the Triangle of Life, a generic conceptual framework for such systems in which robots can actually reproduce, and presents a case study using the SYMBRION research project that realized some fragments of such a system in modular robot hardware.
Evolutionary Robotics: What, Why, and Where to
TLDR
The main achievements of evolutionary robotics are considered, focusing particularly on its contributions to both engineering and biology, and some of the most interesting findings are reviewed.
Robots that can adapt like animals
TLDR
An intelligent trial-and-error algorithm is introduced that allows robots to adapt to damage in less than two minutes in large search spaces without requiring self-diagnosis or pre-specified contingency plans, and may shed light on the principles that animals use to adaptation to injury.
Embodied artificial evolution
TLDR
It is argued that in the near future it will be possible to implement artificial evolutionary processes outside such imaginary spaces and make them physically embodied, leading to a new field of Embodied Artificial Evolution (EAE).
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
TLDR
This book describes the basic concepts and methodologies of evolutionary robotics and the results achieved so far, and describes the clear presentation of a set of empirical experiments of increasing complexity.
Morphological Evolution of Physical Robots through Model-Free Phenotype Development
TLDR
Diversification of morphology and behavior of physical robots for the improvement of functionality with limited resources is shown, in which a mother robot autonomously designs and assembles locomotion agents.
Combining Simulation and Reality in Evolutionary Robotics
TLDR
An algorithm is presented in which only the differences between the behavior fitness obtained in reality versus that obtained in simulations are used as feedback for adapting a simulation, which can be achieved through the co-evolution of robot behavior and simulator.
Automatic design and manufacture of robotic lifeforms
TLDR
A combined computational and experimental approach is reported in which simple electromechanical systems are evolved through simulations from basic building blocks, and the ‘fittest’ machines are then fabricated robotically using rapid manufacturing technology.
...
1
2
3
4
5
...