Robot Technology News  
ROBO SPACE
Team builds first living robots that can reproduce
by Joshua Brown for UV News
Burlington VT (SPX) Dec 01, 2021

Evolving self-replication. (A) An evolutionary algorithm, starting with random swarms, evolves swarms with increasing self-replicative ability. (FG = number of filial generations achieved by a given swarm. The fractional part denotes how close the swarm got to achieving another replication round.) The most successful lineage in this evolutionary trial originated from a spheroid that built piles no larger than 74% of the size threshold required to self-replicate (B). A descendent swarm composed of nine flexible tori (C) contained two members that built one pile large enough to self-replicate (two arrows), which, alone, built piles no larger than 51% of the threshold. A descendent of the toroid swarm, a swarm of semitori (D), contained six members (E) that collectively built three piles large enough to mature into offspring (F). One of those offspring built a pile large enough to mature into a second generation offspring (G). An additional 48 independent evolutionary trials (H) evolved self-replicative swarms with diverse progenitor shapes.

To persist, life must reproduce. Over billions of years, organisms have evolved many ways of replicating, from budding plants to sexual animals to invading viruses. Now scientists have discovered an entirely new form of biological reproduction - and applied their discovery to create the first-ever, self-replicating living robots.

The same team that built the first living robots has discovered that these computer-designed and hand-assembled organisms can swim out into their tiny dish, find single cells, gather hundreds of them together, and assemble "baby" Xenobots inside their Pac-Man-shaped "mouth" - that, a few days later, become new Xenobots that look and move just like themselves.

And then these new Xenobots can go out, find cells, and build copies of themselves. Again and again.

"With the right design - they will spontaneously self-replicate," says Joshua Bongard, a computer scientist and robotics expert at the University of Vermont who co-led the new research.

The results of the new research were published November 29, 2021, in the Proceedings of the National Academy of Sciences.

Into the Unknown
In a Xenopus laevis frog, these embryonic cells would develop into skin. "They would be sitting on the outside of a tadpole, keeping out pathogens and redistributing mucus," says Michael Levin, a professor of biology and director of the Allen Discovery Center at Tufts University and co-leader of the new research. "But we're putting them into a novel context. We're giving them a chance to reimagine their multicellularity."

And what they imagine is something far different than skin. "People have thought for quite a long time that we've worked out all the ways that life can reproduce or replicate. But this is something that's never been observed before," says co-author Douglas Blackiston, the senior scientist at Tufts University who assembled the Xenobot "parents" and developed the biological portion of the new study.

"This is profound," says Levin. "These cells have the genome of a frog, but, freed from becoming tadpoles, they use their collective intelligence, a plasticity, to do something astounding." In earlier experiments, the scientists were amazed that Xenobots could be designed to achieve simple tasks. Now they are stunned that these biological objects-a computer-designed collection of cells - will spontaneously replicate. "We have the full, unaltered frog genome," says Levin, "but it gave no hint that these cells can work together on this new task," of gathering and then compressing separated cells into working self-copies.

"These are frog cells replicating in a way that is very different from how frogs do it. No animal or plant known to science replicates in this way," says Sam Kriegman, the lead author on the new study, who completed his PhD in Bongard's lab at UVM and is now a post-doctoral researcher at Tuft's Allen Center and Harvard University's Wyss Institute for Biologically Inspired Engineering.

On its own, the Xenobot parent, made of some 3,000 cells, forms a sphere. "These can make children but then the system normally dies out after that. It's very hard, actually, to get the system to keep reproducing," says Kriegman. But with an artificial intelligence program working on the Deep Green supercomputer cluster at UVM's Vermont Advanced Computing Core, an evolutionary algorithm was able to test billions of body shapes in simulation - triangles, squares, pyramids, starfish - to find ones that allowed the cells to be more effective at the motion-based "kinematic" replication reported in the new research.

"We asked the supercomputer at UVM to figure out how to adjust the shape of the initial parents, and the AI came up with some strange designs after months of chugging away, including one that resembled Pac-Man," says Kriegman. "It's very non-intuitive. It looks very simple, but it's not something a human engineer would come up with. Why one tiny mouth? Why not five? We sent the results to Doug and he built these Pac-Man-shaped parent Xenobots. Then those parents built children, who built grandchildren, who built great-grandchildren, who built great-great-grandchildren." In other words, the right design greatly extended the number of generations.

Kinematic replication is well-known at the level of molecules - but it has never been observed before at the scale of whole cells or organisms.

"We've discovered that there is this previously unknown space within organisms, or living systems, and it's a vast space," says Bongard, a professor in UVM's College of Engineering and Mathematical Sciences. "How do we then go about exploring that space? We found Xenobots that walk. We found Xenobots that swim. And now, in this study, we've found Xenobots that kinematically replicate. What else is out there?"

Or, as the scientists write in the Proceedings of the National Academy of Sciences study: "life harbors surprising behaviors just below the surface, waiting to be uncovered."

Responding to Risk
Some people may find this exhilarating. Others may react with concern, or even terror, to the notion of a self-replicating biotechnology. For the team of scientists, the goal is deeper understanding.

"We are working to understand this property: replication. The world and technologies are rapidly changing. It's important, for society as a whole, that we study and understand how this works," says Bongard. These millimeter-sized living machines, entirely contained in a laboratory, easily extinguished, and vetted by federal, state and institutional ethics experts, "are not what keep me awake at night. What presents risk is the next pandemic; accelerating ecosystem damage from pollution; intensifying threats from climate change," says UVM's Bongard.

"This is an ideal system in which to study self-replicating systems. We have a moral imperative to understand the conditions under which we can control it, direct it, douse it, exaggerate it."

Bongard points to the COVID epidemic and the hunt for a vaccine. "The speed at which we can produce solutions matters deeply. If we can develop technologies, learning from Xenobots, where we can quickly tell the AI,: 'We need a biological tool that does X and Y and suppresses Z,' - that could be very beneficial. Today, that takes an exceedingly long time." The team aims to accelerate how quickly people can go from identifying a problem to generating solutions-"like deploying living machines to pull microplastics out of waterways or build new medicines," Bongard says.

"We need to create technological solutions that grow at the same rate as the challenges we face," Bongard says.

And the team sees promise in the research for advancements toward regenerative medicine. "If we knew how to tell collections of cells to do what we wanted them to do, ultimately, that's regenerative medicine-that's the solution to traumatic injury, birth defects, cancer, and aging," says Levin. "All of these different problems are here because we don't know how to predict and control what groups of cells are going to build. Xenobots are a new platform for teaching us."

Research Report: Kinematic self-replication in reconfigurable organisms


Related Links
University of Vermont
All about the robots on Earth and beyond!


Thanks for being here;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.

With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.

Our news coverage takes time and effort to publish 365 days a year.

If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceDaily Contributor
$5 Billed Once


credit card or paypal
SpaceDaily Monthly Supporter
$5 Billed Monthly


paypal only


ROBO SPACE
New software allows industrial robots to achieve touch sensitivity and precision close to human hands
Singapore (SPX) Dec 01, 2021
Eureka Robotics, a tech spin-off from Nanyang Technological University, Singapore (NTU Singapore), has developed a technology, called Dynamis, that makes industrial robots nimbler and almost as sensitive as human hands, able to manipulate tiny glass lenses, electronics components, or engine gears that are just millimetres in size without damaging them. This proprietary force feedback technology developed by NTU scientists was previously demonstrated by the "Ikea Bot" which assembled an Ikea chair ... read more

Comment using your Disqus, Facebook, Google or Twitter login.



Share this article via these popular social media networks
del.icio.usdel.icio.us DiggDigg RedditReddit GoogleGoogle

ROBO SPACE
BRIPAC evaluates the capabilities of the Passer UAS within the framework of the RAPAZ Program

Northrop Grumman awarded Mission Planning Contract to increase Global Hawk flexibility

SwRI successfully demonstrated drone autonomy technology at 2021 EnRicH hackathon

Secret General Atomics drone reportedly packs double the firepower of current fleet

ROBO SPACE
Researchers develop novel 3D printing technique to engineer biofilms

Light-powered soft robots could suck up oil spills

Researchers team up to get a clearer picture of molten salts

Reshaping the plastic lifecycle into a circle

ROBO SPACE
Shrinking qubits for quantum computing with atom-thin materials

Physicists exploit space and time symmetries to control quantum materials

A simpler design for quantum computers

Programmable interaction between quantum magnets

ROBO SPACE
Researchers develop new membrane for uranium extraction from seawater

GE Hitachi Nuclear Energy selected by Ontario for Darlington Nuclear Project

NASA, INL take next step toward developing dynamic radioisotope power system

Robotics specialists share their ongoing projects

ROBO SPACE
US removes Colombia's FARC from terrorism list

US to remove Colombia's FARC from terror list

Belgium searches military barracks in far-right probe

Jury members urged clemency for tortured Guantanamo detainee

ROBO SPACE
30,000 UK homes still without power after storm

Accelerated renewables-based electrification paves the way for a post-fossil future

China's carbon emissions fall for first time since Covid lockdowns

Top banking regulator urges climate rules for lenders

ROBO SPACE
Scientists identify another reason why batteries can't charge in minutes

Combined heat and power as a platform for clean energy systems

An energy-storage solution that flows like soft-serve ice cream

Artificial intelligence to advance energy technologies

ROBO SPACE
Tianzhou cargo craft to help advance science

Rocket industrial park put into operation in Wuhan

Chinese astronauts' EVAs to help extend mechanical arm

Astronaut becomes first Chinese woman to spacewalk









The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us.