Scientists create next gen living robots
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Last year, a team of biologists and computer scientists from Tufts University and the University of Vermont (UVM) created novel, tiny self-healing biological machines from frog cells called "Xenobots" that could move around, push a payload, and even exhibit collective behavior in the presence of a swarm of other Xenobots. Get ready for Xenobots 2.0.
The same team has now created life forms that self-assemble a body from single cells, do not require muscle cells to move, and even demonstrate the capability of recordable memory. The new generation Xenobots also move faster, navigate different environments, and have longer lifespans than the first edition, and they still have the ability to work together in groups and heal themselves if damaged. The results of the new research were published today in Science Robotics. Compared to Xenobots 1.0, in which the millimeter-sized automatons were constructed in a "top down" approach by manual placement of tissue and surgical shaping of frog skin and cardiac cells to produce motion, the next version of Xenobots takes a "bottom up" approach. The biologists at Tufts took stem cells from embryos of the African frog Xenopus laevis (hence the name "Xenobots") and allowed them to self-assemble and grow into spheroids, where some of the cells after a few days differentiated to produce cilia -- tiny hair-like projections that move back and forth or rotate in a specific way. Instead of using manually sculpted cardiac cells whose natural rhythmic contractions allowed the original Xenobots to scuttle around, cilia give the new spheroidal bots "legs" to move them rapidly across a surface. In a frog, or human for that matter, cilia would normally be found on mucous surfaces, like in the lungs, to help push out pathogens and other foreign material. On the Xenobots, they are repurposed to provide rapid locomotion.
"We are witnessing the remarkable plasticity of cellular collectives, which build a rudimentary new 'body' that is quite distinct from their default -- in this case, a frog -- despite having a completely normal genome," said Michael Levin, Distinguished Professor of Biology and director of the Allen Discovery Center at Tufts University, and corresponding author of the study. "In a frog embryo, cells cooperate to create a tadpole. Here, removed from that context, we see that cells can re-purpose their genetically encoded hardware, like cilia, for new functions such as locomotion. It is amazing that cells can spontaneously take on new roles and create new body plans and behaviors without long periods of evolutionary selection for those features."
"In a way, the Xenobots are constructed much like a traditional robot. Only we use cells and tissues rather than artificial components to build the shape and create predictable behavior." said senior scientist Doug Blackiston, who co-first authored the study with research technician Emma Lederer. "On the biology end, this approach is helping us understand how cells communicate as they interact with one another during development, and how we might better control those interactions."
While the Tufts scientists created the physical organisms, scientists at UVM were busy running computer simulations that modeled different shapes of the Xenobots to see if they might exhibit different behaviors, both individually and in groups. Using the Deep Green supercomputer cluster at UVM's Vermont Advanced Computing Core, the team, led by computer scientists and robotics experts Josh Bongard and under hundreds of thousands of random environmental conditions using an evolutionary algorithm. These simulations were used to identify Xenobots most able to work together in swarms to gather large piles of debris in a field of particles. "We know the task, but it's not at all obvious -- for people -- what a successful design should look like. That's where the supercomputer comes in and searches over the space of all possible Xenobot swarms to find the swarm that does...
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