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The Evolutionary Perspective
Monthly Archives: May 2017
Trump Army secretary pick gave a lecture arguing against the theory of evolution – CNN
Posted: May 2, 2017 at 11:06 pm
Green's views and past statements are facing scrutiny ahead of his confirmation hearing, which has yet to be scheduled. If confirmed, Green wouldn't be the only prominent doctor and member of the Trump administration to reject evolution. HUD Secretary Ben Carson has also made similar arguments and once said the theory of evolution was encouraged by Satan.
Green, a Tennessee state senator, has faced opposition from Democrats and LGBT groups over his past anti-LGBT comments. In one comment, from September, Green said, "If you poll the psychiatrists, they're going to tell you that transgender is a disease."
The National Academy of Sciences says that the theory of evolution "is supported by so many observations and confirming experiments that scientists are confident that the basic components of the theory will not be overturned by new evidence."
The group adds, "Because the evidence supporting it is so strong, scientists no longer question whether biological evolution has occurred and is continuing to occur. Instead, they investigate the mechanisms of evolution, how rapidly evolution can take place, and related questions."
Green rejects the conclusions of scientists in his lecture. In his 2015 speech to a church to Cincinnati titled 'Isn't Evolution A Solution?, Green dedicated nearly an hour to explaining why his work as a medical doctor taught him to reject the theory.
Green claims that the theory of evolution violates physical law, using the example of a lawn mower left out in a backyard.
"The evolutionists have their bad argument, too," Green said. They say, 'Well, I can't explain how it went from this to incredibly complex, so it must have been billions of years.' That's kind of where they put their faith. The truth of the matter is is the second law of thermo fluid dynamics says that the world progresses from order to disorder not disorder to order.
"If you put a lawn mower out in your yard and a hundred years come back, it's rusted and falling apart. You can't put parts out there and a hundred years later it's gonna come back together. That is a violation of a law of thermodynamics. A physical law that exists in the universe."
Green also argues that processes allowing human life, such as blood-clotting, are 'irreducibly complex' and says that is evidence of a creator.
"Irreducible complexity is important in the argument for the creationist because of this: Evolution assumes a series of minuscule changes over time, and each change has to give a survival advantage to the organism. If it doesn't, and it causes a disadvantage the organism dies and evolution ends," Green said.
Later in the speech, Green adds, "The question is, did all of this happen by chance operating inside the laws of chemistry and physics? Or is this unbelievable engineering, and is the scientific mind going to look at it and make the conclusion, observation, and conclusion that it was created and not that it evolved. Again, remember time is not the hero of the plot. Time is the villain, because over time things break down, they don't assemble themselves together."
Green did not respond to a request for comment. A White House spokesperson told CNN's KFile that a spokesperson handling Green's nomination would contact them, but Green's spokesperson did not.
In a statement announcing his nomination in early April, Secretary of Defense Jim Mattis put his full support behind Green.
"He had my full support during the selection process, and he will have my full support during the Senate confirmation process. I am confident of Mark's ability to effectively lead the Army," Mattis said.
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Holy chickens: Did Medieval religious rules drive domestic chicken evolution? – Phys.Org
Posted: at 11:06 pm
May 2, 2017 Credit: CC0 Public Domain
Chickens were domesticated from Asian jungle fowl around 6000 years ago. Since domestication they have acquired a number of traits that are valuable to humans, including those concerning appearance, reduced aggression and faster egg-laying, although it is not known when and why these traits evolved.
Now, an international team of scientists has combined DNA data from archaeological chicken bones with statistical modeling to pinpoint when these traits started to increase in frequency in Europe.
"Ancient DNA allows us to observe how genes have changed in the past, but the problem has always been to get high enough time resolution to link genetic evolution to potential causes. But with enough data and a novel statistical framework, we now have timings that are precise enough to correlate them with ecological and cultural shifts." says Liisa Loog, the first author of the study.
To their surprise they found that this happened in High Middle Ages, around 1000 A.D. Intriguingly these strong selection pressures coincided with increasing urbanization and Christian edicts that enforced fasting and the exclusion of four legged animals from the menu. Could Medieval religious rules have increased the demand for poultry and thereby altered chicken evolution?
"With our new method we see that the time of selection coincides with an increase in the amount of chicken bones in the archaeological records across Northern Europe. Intriguingly, they also coincide with several socio-cultural changes, including a general increase in the popularity of Christian beliefs, new religious dietary rules and increase in urbanization (favoring traits that mean that animals could be kept in small spaces). We cannot say which one of these was most important but most likely a combination of all these factors affected selective pressures on European chickens and consequently their evolution." Says author Anders Eriksson.
Scientists have been attempting to link traits that distinguish domesticated animals from their wild relatives to specific changes in their genomes. Recent studies of domestic chickens have pinpointed genetic variants in two genes: the thyroid-stimulating hormone receptor (TSHR) and the beta-carotene dioxygenase 2 (BCD02), both of which also show strong signals of selection. Having two copies of a form of the TSHR gene is thought to lead to a loss of seasonal reproduction in many domestic animals. In chickens, a variant of this gene has been shown to enable faster egg-laying, and result in reduced aggression and decreased fear of humans. BCD02 has an effect on skin pigmentation in birds, with one form associated with white or grey skin, and another associated with yellow skin in well-fed chickens.
In 2014, a group led by Greger Larson looked at these two genes in around 100 archaeological samples from Europe spanning the last 2,200 years. But due to a lack of the right statistical methods, they did not quantify the timing or strength of natural selection.
Now, a research team led by Liisa Loog, Anders Eriksson, Mark Thomas and Greger Larson analyzed ancient and modern chicken DNA using a statistical method they developed to pinpoint when selection starts and how strong it is. They found that selection on the TSHR gene began around 920 AD, which coincides with increased chicken consumption across the whole of Northern Europe, as seen in the archaeological record.
"Several independent archaeological studies have documented substantial increases in the frequency of chicken remains between the 9th and 12th centuries AD, as well as a shift towards the management of adult hens, presumably to increase egg production." said Mark Thomas, an author on the study. "Intriguingly, this is the period when selection on the TSHR variant most likely kicked off".
There are several socio-economic factors could have contributed to the rise in popularity of poultry, including religious edicts that prohibited meat consumption during fasting. Importantly, chickens and eggs were not restricted by these edicts, which may have led to an increase in selective pressures on THSR, allowing chickens to be raised in closer confines as demand for their meat and eggs increased.
"This significant intensification of chicken and egg production has been linked to Christian fasting practices, originating with the Benedictine Monastic Order, which disallowed the consumption of meat from four-legged animals during fasting periods, but the restrictions did not extend to birds or eggs. These dietary rules were adopted across Europe and applied to all segments of society around 1000 AD." said author Anders Eriksson. "However, The increase in chicken production could also have been favored by urbanization, the introduction of the more efficient agricultural practices and a warmer climate."
For BCDO2, the gene which plays a role in leg color, they authors show that while the genetic patterns are compatible with some level of selection, the genetics of modern chickens is best explained as a consequence of Victorian breeding practices, which involved cross-breeding native European breeds with exotic Asian chickens.
The authors new statistical approach, which combines mathematical modeling with ancient DNA information, provides a tool for exploring the links between genetic evolution in domestic plants and animals and the parallel cultural changes in human populations, as they have each responded to alterations in natural and artificial selective pressures.
"We tend to think that there were wild animals, and then there were domestic animals. We tend to discount how selection pressures on domestic plants and animals varied through time in response to different preferences or ecological factors. This study demonstrates just how easy it is to drive a trait to a high frequency in an evolutionary blink of an eye, and suggests that simply because a domestic trait is ubiquitous, it may not have been a target for selection at the very beginning of the domestication process", said author Greger Larson.
"The processes and driving mechanisms responsible for generating the patterns of genomic variation in humans and their co-dependent domestic plants and animals found today can be explored using this new tool" concluded first author Liisa Loog.
Explore further: Feral chickens spread light on evolution
More information: Liisa Loog et al, Inferring allele frequency trajectories from ancient DNA indicates that selection on a chicken gene coincided with changes in medieval husbandry practices, Molecular Biology and Evolution (2017). DOI: 10.1093/molbev/msx142
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Forgotten fossil fills blanks in dinosaur evolution – New Atlas
Posted: at 11:06 pm
The scientists say the newly identified dinosaur,Vouivria,died at a young ageweighing around 15,000 kg (33,000 lb)
After sitting idly in a Paris history museum for more than 80 years, a previously overlooked fossil is shedding light on a decidedly obscure chapter in dinosaur evolution. Not only is the new species providing scientists with new clues, it has turned out to be the earliest relative of a certain long-necked plant-eater called the Brachiosaurus.
In 1934 paleontologists came across a dinosaur fossil in the village of Damparis in eastern France. A species was not immediately identified and the fossil was mostly ignored by scientific literature in the 30s and 40s, referred to only as the "Damparis dinosaur." But now scientists from Imperial College London, together with France's Museum National d'Histoire Naturelle, where Damparis has been stored, and Universit Paris 1 Panthon-Sorbonne, have pulled it out for another look.
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New analysis of the fossil has revealed it to be a brachiosaurid sauropod, a group belonging to a larger group of dinosaurs called the titanosauriforms. These were some of the biggest creatures to ever live on land and roamed the Earth from at least the Late Jurassic (around 160 million years ago) to the mass-extinction event at the end of the Cretaceous period (65 million years ago).
The researchers say that the age of the fossil, which has now been named Vouivria damparisensis, is around 160 million years old. This is significant for a couple of reasons. It makes it the earliest known fossil from the titanosauriform family and therefore the earliest relative of the brachiosaurus, and helps to fill in what was a sizable hole in the existing fossil records.
"Vouivria would have been a herbivore, eating all kinds of vegetation, such as ferns and conifers," says Imperial College London's Dr Philip Mannion, lead author of the study. "This creature lived in the Late Jurassic, around 160 million years ago, at a time when Europe was a series of islands. We don't know what this creature died from, but millions of years later it is providing important evidence to help us understand in more detail the evolution of brachiosaurid sauropods and a much bigger group of dinosaurs that they belonged to, called titanosauriforms."
The scientists say Vouivria died at a young age, weighing around 15,000 kg (33,000 lb) and measured more than 15 m long (50 ft), around 1.5 times the size of a double-decker bus in the UK. It had a long neck, a long tail and four legs of equal length.
Without many fossils to work with, it has been hard for scientists to plot the evolution of the titanosauriforms and their spread across the planet. But already Vouivria is starting to fill in some of the blanks. The team believes that the dinosaur died in a coastal lagoon in the midst of a short sea level decline in Europe, and was then buried when the sea rose again.
Working the new evidence into analysis of brachiosaurid evolution, the scientists now believe that the creatures were most likely extinct in Europe soon after this creature lived by the Early Cretaceous period and restricted to what is now Africa and the USA. They are now expanding that analysis to consider the evolutionary relationships between all members of the titanosauriform family to understand their evolution even further.
The research was published in the journal PeerJ.
Source: Imperial College London
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Evolution’s Quick Pace Affects Ecosystem Dynamics – The Scientist
Posted: at 11:06 pm
The Scientist | Evolution's Quick Pace Affects Ecosystem Dynamics The Scientist Starting in the late 1970s, aspiring evolutionary biologist David Reznick became intent on documenting evolution in action. Although he had learned in school that observable change took place over millennia, the young biologist questioned that notion ... |
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‘Critical thinking’ on evolution lives on – One News Now – OneNewsNow
Posted: at 11:06 pm
The Texas Board of Education held fast in late April, preserving the right of students and teachers to have open discussion and debates regarding Darwinian evolution.
David Walls of Texas Values says the board after adopting streamlined science standards that preserve that right rejected a final attempt by liberal advocacy groups to have students and teachers merely "identify" scientific theories on the origins of life without critical thinking and debate.
Walls says in reaching its decision, the Board heard from concerned parents, professionals, scholars, and scientists and opted instead for stronger language to allow those in the classroom to "compare and contrast" and "examine" theories on the origin of life.
"These new standards, while being streamlined from the previous standards, still protected the ability for academic freedom and critical thinking on these important topics," he tells OneNewsNow.
"We're certainly thankful that the board once again rejected attempts to push a one-sided, dogmatic view and instead listened to teachers, parents, and students who favored preserving the ability to critically analyze the scientific evidence regarding evolution."
Evolution News reports a number of media outlets wrongly reported that the Texas Board had dropped requirements for evolution to be critically examined in the classroom.
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Evolutionary Informatics: Marks, Dembski, and Ewert Demonstrate the Limits of Darwinism – Discovery Institute
Posted: at 11:05 pm
In the evolution debate, a key issue is the ability of natural selection to produce complex innovations. In a previous article, I explained based on engineering theories of innovation why the small-scale changes that drive microevolution should not be able to accumulate to generate the large-scale changes required for macroevolution. This observation perfectly corresponds to research in developmental biology and to the pattern of the fossil record. However, the limitations of Darwinian evolution have been demonstrated even more rigorously from the fields of evolutionary computation and mathematics. These theoretical challenges are detailed in a new book out this week, Introduction to Evolutionary Informatics.
Authors Robert Marks, William Dembski, and Winston Ewert bring decades of experience in search algorithms and information theory to analyzing the capacity of biological evolution to generate diverse forms of life. Their conclusion is that no evolutionary process is capable of yielding different outcomes (e.g., new body plans), being limited instead to a very narrow range of results (e.g., finches with different beak sizes). Rather, producing anything of significant complexity requires that knowledge of the outcomes be programmed into the search routines. Therefore, any claim for the unlimited capacity of unguided evolution to transform life is necessarily implausible.
The authors begin their discussion by providing some necessary background. They present an overview of how information is defined, and define the standard measures of KCS (KolmogorovChaitin-Solomonov) complexity and Shannon information. The former provides that minimum number of bits required to repeat a pattern the maximum compressibility. The latter relates to the log of the probability of some pattern emerging as an outcome. For instance, the probability of flipping five coins and having them all land on heads is 1/32. The information content of HHHHH is then the negative log (base 2) of 1/32, which is 5 bits. More simply, a specific outcome of 5 coin flips is equivalent to 5 bits of information.
They describe how searches in engineering for some design outcome involve the three components of domain expertise, design criteria, and iterative search. The process involves creating a prototype and then checking to see if it meets the criteria, which functions as a teleological goal. If the initial design does not, the prototype is refined and the test repeated. The greater the domain expertise, the more efficiently adjustments are made, so fewer possibilities need to be tested. Success can then be achieved more quickly.
They demonstrate this process with a homely example: cooking pancakes. The first case involves adjusting the times the pancakes were cooked on the front and on the backside. An initial pancake was cooked for two random times, and it was then tasted. Based on the taste, the temperatures were then adjusted for the second iteration. This process was repeated until a pancakes taste met some quality threshold. For future cases, additional variables were added, such as the amount of milk used in the batter, the temperature setting, and the added amount of salt. If each variable were assigned a value between 1 and 10, such as the ten settings on the stove burner, the number of possible trials increased by a factor of 10 for each new variable. The number of possibilities grows very quickly.
For several variables, if the taster had no knowledge of cooking, the time required to find a suitable outcome would likely be prohibitively long. However, with greater knowledge, better choices could be made to reduce the number of required searches. For instance, an experienced cook (that is, a cook with greater domain experience) would know that the time on both sides should be roughly the same, and pancakes that are too watery require additional flour.
This example follows the basic approach to common evolutionary design searches. The main difference is that multiple trials can often be simulated on a computer at once. Then, each individual can be independently tested and altered. The components of each cycle include a fitness function (aka oracle) to define that status of an individual (e.g., taste of the pancake), a method of determining which individuals are removed and which remain or are duplicated, and how individuals are altered for the next iteration (e.g., more milk). The authors provide several examples of how such evolutionary algorithms could be applied to different problems. One of the most interesting examples they give is how NASA used an evolutionary algorithm to bend a length of wire into an effective X-band antenna.
In this way, the authors demonstrate the limitations of evolutionary algorithms. The general challenge is that all evolutionary algorithms are limited to converging on a very narrow range of results, a boundary known as Baseners Ceiling. For instance, a program designed to produce an antenna will at best converge to the solution of an optimal antenna and then remain stuck. It could never generate some completely different result, such as a mousetrap. Alternatively, an algorithm designed to generate a strategy for playing checkers could never generate a strategy for playing backgammon. To change outcomes, the program would have to be deliberately adjusted to achieve a separate predetermined goal. In the context of evolution, no unguided process could converge on one organism, such as a fish, and then later converge on an amphibian.
This principle has been demonstrated both in simulations and in experiments. The program Tierra was created in the hope of simulating large-scale biological evolution. Its results were disappointing. Several simulated organisms emerged, but their variability soon hit Baseners Ceiling. No true novelty was ever generated but simply limited rearrangements of the initially supplied information. We have seen a similar result in experiments on bacteria by Michigan State biologist Richard Lenski. He tracked the development of 58,000 generations of E. coli. He saw no true innovation but primarily the breaking of nonessential genes to save energy, and the rearrangement of genetic information to access pre-existing capacities, such as the metabolism of citrate, under different environmental stresses. Changes were always narrow in scope and limited in magnitude.
The authors present an even more defining limitation, based on the No Free Lunch Theorems, which is known as the Conservation of Information (COI). Stated simply, no search strategy can on average find a target more quickly than a random search unless some information about that target is incorporated into the search process. As an illustration, imagine someone asking you to guess the name of a famous person, but without giving you any information about that individual. You could use many different guessing strategies, such as listing famous people you know in alphabetical order, or by height, or by date of birth. No strategy could be determined in advance to be better than a random search.
However, if you were allowed to ask a series of questions, the answers would give you information that could help limit or guide your search. For instance, if you were told that the famous person was contemporary, that would dramatically reduce your search space. If you then learned the person was an actor, you would have even more guidance on how to guess. Or you might know that the chooser is a fan of science fiction, in which case you could focus your guessing on people associated with the sci-fi genre.
We can understand the theorem more quantitatively. The size of your initial search space could be defined in terms of the Shannon Information measure. If you knew that one of 32 famous people was the target, the search space would correspond to log (base 2) of 32, which is 5 bits. This value is known as the endogenous information of the search. The information given beforehand to assist the search is known as the active information. If you were given information that eliminated all but 1/4 of the possible choices, you would have log (base 2) of 4, which is 2 bits of active information. The information associated with finding the target in the reduced search space is then log (base 2) of 32/4, which is 3 bits. The search-related information is conserved: 5 bits (endogenous) = 2 bits (active) + 3 bits (remaining search space).
The COI theorem holds for all evolutionary searches. The NASA antenna program only works because it uses a search method that incorporates information about effective antennas. Other programs designed to simulate evolution, such as Avida, are also provided with the needed active information to generate the desired results. In contrast, biological evolution is directed by blind natural selection, which has no active information to assist in searching for new targets. The process is not helped by changes in the environment, which alter the fitness landscape, since such changes contain no active information related to a radically different outcome.
In the end, the endogenous information associated with finding a new body plan or some other significant modification is vastly greater than that associated with the search space that biological offspring could possibly explore in the entire age of the universe. Therefore, as these authors forcefully show, in line with much previous research in the field of intelligent design, all radical innovations in nature required information from some outside intelligent source.
Image: Mandelbrot set, detail, by Binette228 (Own work) [CC BY-SA 3.0], via Wikimedia Commons.
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Veo Robotics gives industrial robots a sixth sense for safely working around people – TechCrunch
Posted: at 11:05 pm
Everyone knows the robots are coming, so we should probably get to work figuring out how we can coexist. Thats the mission of Veo Robotics, which is working on a system that gives robots spatial awareness of every object and obstacle in their reach, from debris to people and everything in between. People and robots working together can accomplish far more than either one on its own.
Fraunhofer researchers created something along these lines, but Veos approach seems more dynamic and responsive, relying not on safe and unsafe zones but doing object recognition and other semantic modeling.
If you build in human interactivity from the beginning, its safer than putting up all the fences and gates in the world,Sobalvarro told me. He compared it to a draft horse on a farm: better that it knows you and where you are at all times than to keep it in the sturdiest pen.
Veos system uses a set of four depth-sensing cameras placed around the work space so as to give complete visual coverage. Once youve established that, you designate various things as work pieces, forbidden areas and so on.
This logic sits lightly on top of the robots ordinary controller; you dont have to redo everything or add the exact dimensions of girders to be carried and safe places for humans to stand. The robot operates as it would otherwise, except now it knows the exact location and size of everything in its field of view. If a human or vehicle intrudes, or a piece breaks, or theres some other deviation from the norm, it can slow or stop.
Critically, if the system is ever not 100 percent sure that its safe for instance, if a camera is obscured or it cant see behind a large piece the robot comes to a full stop.
Sobalvarro previously worked at Rethink Robotics, which created the popular Baxter and Sawyer bots, but felt that it was a better bet to empower existing setups than try to invent new ones. A plug-and-play system like Veos could essentially redefine collaborative robotics to encompass well, pretty much all robotics.
Were robot-agnostic, Sobalvarro said. We respect the investment companies have made. These things are gorgeous, they last a hundred thousand hours and have tolerances of a fraction of a millimeter. We love these machines, and our model is to work with all of them.
If any robot, no matter how big and powerful, can work alongside a human, in many cases thats a better option for a manufacturing workflow.
The company is testing its prototypes in production environments with partners it cant name but Sobalvarro assured me are not small fry. The next step is to upgrade from temporary gear (for instance, using Kinects as the depth sensors) to safety-rated hardware and get all their regulatory ducks in a row. Theyre looking at 2019 for a full deployment, but you can expect to hear more from them well ahead of that.
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Leland High team aces international robotics contest – The Mercury News
Posted: at 11:05 pm
Leland High Schools robotics teamis used to winning, but its high ranking at the FIRST Championship onApril 19-22 in Houston was a first for any San Jose Unified School District campus.
The team, called Team 604 Quixilver, is savoring a successful season just capped off by its first-ever division championship, after having competed many times before in the four-day international contest.
We had a fantastic time this season, said team president Rayne Mehta. When we came into the season, we said, Alright, we want to rank in the top eight at a regional.
Team members exceeded their own expectations with a third-place ranking in both of their regional competitions and fourth overall at the FIRST Championship. For their division win, they beat out about 60 other teams from around the world in numerous timed rounds.
That was fantastic because wed never reached that height before in all of our years as a team, Mehta said.
About 24 students traveled to Houston for the event, arriving there behind their robot Frankensteina mashup of models from previous years that had been shipped out in a crate a couple of weeks earlier. Starting early this year, the students spent six weeks working on their new robot. They met most days after school for a couple of hours, and sometimes spent whole weekends building together. After that period, they were not allowed to make any modifications except for repairs.
Some of the teams leaders didnt think they were smart enough to build a robot. One of them was Hannah Park, who joined the team three years ago and today is its strategy lead and project manager.
My impression of robotics at the time was that only MIT-bound world class math geniuses could do it and that it wasnt accessible to everyone, Park said. I really didnt want to do it for those reasons.
Helen Arrington, a founding member of Team 604 who also used to teach engineering and design, called the teams achievement exciting and exhilarating. She said shes proud of the team not only because it excels in building robots but also because its so inclusive.
Its not all about winning, Arrington said in an interview. I just tell the kids, As long as youre having fun.
The social aspect played a big part in Parks decision to finally join, after being prodded for several months by Mehta and two other friends.
OK, its three people, might as well give it a shot now, she said, adding that she ended up totally throwing all of my energy and time into it.
That time and energy has paid off, but team members arent resting. Aftermaking the rounds at Maker Faire in San Mateo later this month, the teams plans for this summer include conducting demonstrations for sponsors and figuring out a robot design that has been eluding them for years. Failure is a frustrating and expected part of the design process, but Park said the payoff is always worthwhile.
Half of it is going through the prototypes and you see what doesnt work, Park said. When you figure out what does and succeed in competition, it is very, very rewarding to have something that you designed from the start, that was your brainchild, and see it come to life on the field.
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Leland High team aces international robotics contest - The Mercury News
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Score one for the alliance: Plymouth-Canton wins robotics world title – Hometownlife.com
Posted: at 11:05 pm
The celebration was on after Team 862 and its three alliance teams embraced a world championship.(Photo: Team 862)
In battle, it's all about who's fighting by your side.
Over the weekend in St. Louis, Mo., Plymouth-Canton's FIRST Lightning Robotics Team 862's foxhole was filled with winners.
Team 862, making its 15th trip to the FIRST Robotics world championships, combined with three other teams in its alliance and captured its first career world championship, topping a field of more than 400 teams.
With Team 862's robot, Valkyrie, running gears like a champand the other three alliances doing what they do best, the four-team alliance Team 862,Team 2767-Stryke Force from Kalamazoo, Team 254-The Cheesy Poofs from San Jose, Calif.,and Team 1676-The Pascack PI-oneers of Montvale, N.J. the alliance was able to capture gold.
The Cheesy Poofs have won the world title before; it was a first for the other three alliance members.
Members of Team 862 from Plymouth-Canton celebrated their subdivision win and a national title.(Photo: Team 862)
"We have one of the best gear running robots ... so we were very good at delivering gears to the Air Ship," said Jay Obsniuk, faculty adviser to the robotics team. "We were fast and dependable. For the end game, we never missed climbing the rope, which was a 50-point score. There were a lot of teams that struggled at this. We were a very dependable robot, doing what we could do 100 percent of the time and veryreliable."
It would have been easy for the team to falter. After all, it had lost in the semifinals in three previous competitions, including the Michigan state competition. Then, at the Michigan state championships, Valkyrie lost its bell pan. Competition rules say teams can't work on their robots except in competition, so Team 862 had to wait until it got to St. Louis to make repairs.
The team missed a practice match Thursday night, then lost four close matches Friday "The robot was fine, but things just didn't go our way," Obsniuk said but managed enough qualifying points to continue. It won four matches (though it lost a replay of one of them) and, with a robot in good shape and showing what it could do, Team 862 was chosen for the finals alliance.
Team leaders agreed being picked by the right alliance was a key.
"I just think altogether we were just a really good robotand we were picked by an amazing alliance," said Canton High School senior Jerry Nicklas, who was part of the team's electrical subgroup. "We had great chemistry. Cheesy Poofs and Stryke Force were really good shootersand we were primarily a gear robot, so that expanded our chances."
With all the trials and adversity, it would have been easy for the students to fold. But a funny thing happened on the way to the title: they bonded.
"You could tell they were frustrated, but with some motivationalspeeches and the fact that they are great kids, they never got down," Obsniuk said. "They tried harder, were even more determined, full of spirit, dancing, cheering and getting to know the over 30,000 other students there, learning from other teams and becoming a very solid team.
"It showed on Saturday, during the subdivision matches. The robot prefor
Lighting Team 862 members Joe Jagadics, Vivian Clements, Tyler Harris, Abby Morningstar and Luke Fenstermacher, with Valkyrie.(Photo: Team 862)
med great and the students even preformed better," he added. "Leading cheers, firing up the drive team and working with the other students on the other teams to help win the matches."
Salem High School senior Josh Markey, a member of the fabrication subgroup, was experiencing the world championship competition for the first time.
He called the frenetic pace the team competed 12 times in two days "amazing."
"The three or four days wentby in a blur ... everyday was fun," Markey said. "It was insane to watch us plan 12 matches in two days. It was awesome."
Not only did the competition yield a world championship for Team 862, but several of its members won individual honors. Obsniuk said seniors won scholarships from schools like Kettering, Michigan Tech, Lawrence Tech and UM-Dearborn, among others. Team president Allison Hurley won scholarships from Kettering and from the Bosch Corp.
"The students never got down, they worked hard on strategy, kept the robot in top condition and talked to the other teams. And they did it on maybe four or five hours of sleep every night," Obsniuk said. "The kids were fantastic."
Twitter: @bkadrich
Support was high for Lighting Robotics Team 862 from Plymouth-Canton.(Photo: Team 862)
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Score one for the alliance: Plymouth-Canton wins robotics world title - Hometownlife.com
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This Company Has Created the Swiss Army Knife of Robots – Inc.com
Posted: at 11:05 pm
In honor of Small Business Week, Inc. reporters deployed to several cities where they spent one day talking to owners and entrepreneurs in a particular sector about their challenges.
Robots allow manufacturers to operate more cheaply. But robots themselves aren't cheap, limiting the ability of small manufacturers to compete with larger companies or win back business from overseas. A Baltimore startup thinks it has a solution: robots as a service.
Ready Robot's TaskMate.
CREDIT: Ready Robots via YouTube
Industrial robots typically sell for $75,000 or more, a significant capital outlay. And that price tag escalates dramatically with operational costs. Ready Robotics, a startup housed in City Garage, a Baltimore center for makers, charges $1,500 to $4,000 a month for use of one of its robots, called the TaskMate. The TaskMate is easy to program and move around a factory floor. That suits it for the short production runs on which many small manufacturers survive.
Kelleher Guerin developed the underlying technology for TaskMate while working on his PhD and then as a post-doctoral fellow at Johns Hopkins University. He built a prototype and partnered with Benjamin Gibbs, a tech transfer official at the university. Their focus was on medical applications until they met Drew Greenblatt, owner of Baltimore-based Marlin Steel, a 30-employee maker of industrial baskets. Greenblatt invited them to tour Marlin's factory floor, where he explained the practical challenges faced by small manufacturers like himself. Soon after, Guerin and Gibbs pivoted toward industry.
Ready Robotics launched in June of last year, with Gibbs as CEO, Guerin as CTO, and Greenblatt as industry adviser.
"When Ford deploys a bunch of robots to make a new car, and it takes a year to set up the factory, they are fine with that because they're going to make that car for 10 years and amortize the effort," says Guerin. "Drew might have a job that takes two weeks. We were thinking, how do you have an industrial robot that helps in that situation?"
Ready Robotics' solution is a robotic arm that can be swiftly programmed to perform new tasks and is packaged with an assortment of grippers, pneumatic air tools, and other peripherals that transform it into a kind of automated Swiss Army knife. The robot, which comes with a stand, can also operate existing tools such as lathes, mills, and band saws, freeing up workers for more valuable assignments. While TaskMate is deployable in most industries, the company's initial focus is on metal forming, food production, plastics, and textiles.
The product is optimized for use by a blue-collar workforce. "We have trained people to do this in under two hours who are complete novices," says Guerin. "No automation experience. No robotics experience. The bar is very low."
Johns Hopkins owns the core technology, which Ready Robotics licenses on an exclusive basis. "We have been filing our own patents on top of that," says Gibbs. "So we have a really robust portfolio protecting the technology."
Ready Robotics, which has 12 employees including Gibbs and Guerin, has raised $3.75 million in a seed round and is embarking on a Series A. That money will allow the company to expand outside the Baltimore market, where it has two customers--one of them Marlin Steel--and proposals out to another three. Guerin estimates that within six months it will have produced and rented 60 units. In a year: double that.
On a recent day, a TaskMate could be found making wire forms for a telecom product near the entrance to Marlin's factory floor. It is the ultimate utility player, explains Greenblatt, switchable within a few hours among most of the 10 or 12 jobs the plant has going at one time. (Greenblatt is a nationally known voice for small manufacturing. Ready Robotics is his first entrepreneurial venture; he acquired Marlin.)
"The real American factory has runs of five and then 300 and then 50 and then 600--peanut runs," says Greenblatt. "You have to be nimble, adaptable, constantly changing over and making new fixtures."
"This is how small companies are going to automate," says Greenblatt. "This is how we will revolutionize American industry."
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This Company Has Created the Swiss Army Knife of Robots - Inc.com
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