MIT Research News' Journal
 
[Most Recent Entries] [Calendar View]

Thursday, November 7th, 2019

    Time Event
    10:28a
    Flexible yet sturdy robot is designed to “grow” like a plant

    In today’s factories and warehouses, it’s not uncommon to see robots whizzing about, shuttling items or tools from one station to another. For the most part, robots navigate pretty easily across open layouts. But they have a much harder time winding through narrow spaces to carry out tasks such as reaching for a product at the back of a cluttered shelf, or snaking around a car’s engine parts to unscrew an oil cap.

    Now MIT engineers have developed a robot designed to extend a chain-like appendage flexible enough to twist and turn in any necessary configuration, yet rigid enough to support heavy loads or apply torque to assemble parts in tight spaces. When the task is complete, the robot can retract the appendage and extend it again, at a different length and shape, to suit the next task.

    The appendage design is inspired by the way plants grow, which involves the transport of nutrients, in a fluidized form, up to the plant’s tip. There, they are converted into solid material to produce, bit by bit, a supportive stem.

    Likewise, the robot consists of a “growing point,” or gearbox, that pulls a loose chain of interlocking blocks into the box. Gears in the box then lock the chain units together and feed the chain out, unit by unit, as a rigid appendage.

    The researchers presented the plant-inspired “growing robot” this week at the IEEE International Conference on Intelligent Robots and Systems (IROS) in Macau. They envision that grippers, cameras, and other sensors could be mounted onto the robot’s gearbox, enabling it to meander through an aircraft’s propulsion system and tighten a loose screw, or to reach into a shelf and grab a product without disturbing the organization of surrounding inventory, among other tasks.

    “Think about changing the oil in your car,” says Harry Asada, professor of mechanical engineering at MIT. “After you open the engine roof, you have to be flexible enough to make sharp turns, left and right, to get to the oil filter, and then you have to be strong enough to twist the oil filter cap to remove it.”

    “Now we have a robot that can potentially accomplish such tasks,” says Tongxi Yan, a former graduate student in Asada’s lab, who led the work. “It can grow, retract, and grow again to a different shape, to adapt to its environment.”

    The team also includes MIT graduate student Emily Kamienski and visiting scholar Seiichi Teshigawara, who presented the results at the conference.

    The last foot

    The design of the new robot is an offshoot of Asada’s work in addressing the “last one-foot problem” — an engineering term referring to the last step, or foot, of a robot’s task or exploratory mission. While a robot may spend most of its time traversing open space, the last foot of its mission may involve more nimble navigation through tighter, more complex spaces to complete a task.

    Engineers have devised various concepts and prototypes to address the last one-foot problem, including robots made from soft, balloon-like materials that grow like vines to squeeze through narrow crevices. But Asada says such soft extendable robots aren’t sturdy enough to support “end effectors,” or add-ons such as grippers, cameras, and other sensors that would be necessary in carrying out a task, once the robot has wormed its way to its destination.

    “Our solution is not actually soft, but a clever use of rigid materials,” says Asada, who is the Ford Foundation Professor of Engineering.

    Chain links

    Once the team defined the general functional elements of plant growth, they looked to mimic this in a general sense, in an extendable robot.

    “The realization of the robot is totally different from a real plant, but it exhibits the same kind of functionality, at a certain abstract level,” Asada says.

    The researchers designed a gearbox to represent the robot’s “growing tip,” akin to the bud of a plant, where, as more nutrients flow up to the site, the tip feeds out more rigid stem. Within the box, they fit a system of gears and motors, which works to pull up a fluidized material — in this case, a bendy sequence of 3-D-printed plastic units interlocked with each other, similar to a bicycle chain.

    As the chain is fed into the box, it turns around a winch, which feeds it through a second set of motors programmed to lock certain units in the chain to their neighboring units, creating a rigid appendage as it is fed out of the box.

    The researchers can program the robot to lock certain units together while leaving others unlocked, to form specific shapes, or to “grow” in certain directions. In experiments, they were able to program the robot to turn around an obstacle as it extended or grew out from its base.

    “It can be locked in different places to be curved in different ways, and have a wide range of motions,” Yan says.

    When the chain is locked and rigid, it is strong enough to support a heavy, one-pound weight. If a gripper were attached to the robot’s growing tip, or gearbox, the researchers say the robot could potentially grow long enough to meander through a narrow space, then apply enough torque to loosen a bolt or unscrew a cap.

    Auto maintenance is a good example of tasks the robot could assist with, according to Kamienski. “The space under the hood is relatively open, but it’s that last bit where you have to navigate around an engine block or something to get to the oil filter, that a fixed arm wouldn’t be able to navigate around. This robot could do something like that.”

    This research was funded, in part, by NSK Ltd.

    3:10p
    Investigating the power of group think

    While many people might find it difficult, if not downright distasteful, to dive into 1.5 million hours of partisan talk radio, Clara Vandeweerdt found it thrilling.

    “Honestly, it’s been one of the most fun things I've had to do in my PhD career,” says Vandeweerdt, a native of Belgium who is in her final year of doctoral studies in political science. “Hearing two points of view on different issues, I’ve gotten to know a side of the U.S. I was unfamiliar with, and it’s been really interesting.”

    Vandeweerdt has been analyzing more than a year's worth of talk radio as part of a research agenda focused on political behavior and the various forces that might shape it. Her doctoral research depends on novel data sets and quantitative methods to investigate the impact of social identity and affiliation on political beliefs.

    “I am broadly interested in the connection between social groups and identity, and politics,” she says. “Specifically, I want to understand how people use their identities and social groups as shortcuts to arrive at conclusions about complicated political topics, like climate change.”

    Talk radio divides us

    Real-world events can strongly shape discussion of political topics. But Vandeweerdt wants to understand if and how these events might shift thinking in arenas where ideology has already gripped political thought (think polarizing subjects such as climate change, mass shootings, and immigration). To pursue these questions, Vandeweerdt decided to analyze talk radio — both conservative and liberal media sources — before and after newsworthy events. It was a project she credits to the unexpected emergence “of a really exciting dataset.”

    Her singular trove came courtesy of the MIT Media Lab, whose Laboratory for Social Machines generated the RadioTalk corpus — 2.8 billion words of talk radio speech transcripts, generated by natural language algorithms, from October 2018-March 2019. This corpus, containing metadata with geographical location and radio program information, provided Vandeweerdt with the means to interrogate how big news changes media discussion.

    Examining word content of 120,000 radio show episodes from 150 U.S. radio stations, Vandeweerdt first determined the shows’ ideological bias. Then, with the help of human coders, she identified speech fragments containing political topics. She searched for major events, seeking to measure the change in quantity of talk on these topics before and after the events. And finally, she analyzed the talk on either side of these events to determine whether there had been any shift in political framing (ideological bias).

    With a specific concern for climate change, Vandeweerdt zeroed in on hurricanes as a major news event. Her analysis found “a huge spike in the number of times climate change was mentioned after a hurricane on both conservative and liberal radio shows,” she says. “Unlike many attempts to detect the effect of a real-world event on people's opinions, where you have to fight to make the statistical case, this spike jumped out, with a two-to three-factor increase in the number of times the topic was mentioned.”

    Her second finding demonstrated that there was no change in the political framing of the discussion. “Liberal shows remained concerned about climate change, and conservative radio shows remained skeptical, assuring listeners that hurricanes were not a sign of climate change.”

    She found a similar rigidity in framing in regard to mass shootings and gun policy, and family separations and immigration policy. Vandeweerdt hopes to delve further into this hard ideological divide, with a follow-up project that examines whether talk radio listeners can shift opinions when exposed to partisan talk that supports or erodes their initial beliefs.

    Immovable beliefs

    Other research projects Vandeweerdt is pursuing bolster the idea that Americans are not just deeply divided, but dug in. Working with subjects representing 10 different social identity groups (e.g., women, men, African-American, Latinx, LGBTQ), she tested the degree to which information on the impact of certain issues on these groups might drive individuals’ political concerns.

    One of her studies showed that even when group members learned that a specific problem powerfully affected their group, their attitude toward political policy related to the problem did not change. For instance, LGBTQ respondents did not change their views about unemployment policy after learning that unemployment was a much greater challenge for LGBTQ group members than for others.

    “I found surprising and convincing evidence that these interest cues have very small effects, at most," Vandeweerdt says. “People seem to use group identity to cue them about the right opinion on a topic, but often that opinion does not line up with the material interest of the group.”

    Teaching to change minds

    Vandeweerdt hopes to harness her twin interests in human and political behavior to effect real change in the world. “People don’t seem cognitively equipped to make decisions about problems like climate change because they are so much bigger than life and hard to relate to,” she says. “My career plan is to use the precise methods of political science to find ways to change people's minds, and convince them to make sure that their opinions are lined up with their values.”

    She also views teaching as another means to this end. “Shaping people’s minds, where you can really see the results, is by far the most impactful thing I do,” says Vandeweerdt, who has served as a lecturer and teaching assistant in MIT courses on quantitative methods and public policy, and is currently lecturing at the University of Copenhagen on political behavior and public opinion.

    While her research offers fresh perspectives on political discourse and belief in the United States, Vandeweerdt has sometimes found it hard to take the relentless noise and anger in current American politics. So in the midst of analyzing data and writing her dissertation, she found a novel refuge from partisan babble. “One of the things I did to switch it off for a while was improv comedy, which I did with a friend,” she says. The duo’s name: Belgian Waffles.

    << Previous Day 2019/11/07
    [Calendar]
    Next Day >>

MIT Research News   About LJ.Rossia.org