Centipedes are known for their wiggly walk. With tens to hundreds of legs, they can traverse any terrain without stopping.

“When you see a scurrying centipede, you're basically seeing an animal that inhabits a world that is very different than our world of movement,” said Daniel Goldman, the Dunn Family Professor in the School of Physics. “Our movement is largely dominated by inertia. If I swing my leg, I land on my foot and I move forward. But in the world of centipedes, if they stop wiggling their body parts and limbs, they basically stop moving instantly.”

Intrigued to see if the many limbs could be helpful for locomotion in this world, a team of physicists, engineers, and mathematicians at the Georgia Institute of Technology are using this style of movement to their advantage. They developed a new theory of multilegged locomotion and created many-legged robotic models, discovering the robot with redundant legs could move across uneven surfaces without any additional sensing or control technology as the theory predicted.

These robots can move over complex, bumpy terrain — and there is potential to use them for agriculture, space exploration, and even search and rescue.

The researchers presented their work in the papers, “Multilegged Matter Transport: A Framework for Locomotion on Noisy Landscapes,” in Science in May and “Self-Propulsion via Slipping: Frictional Swimming in Multilegged Locomotors,” in Proceedings of the National Academy of Sciences in March.

A Leg Up

For the Science paper, the researchers were motivated by mathematician Claude Shannon’s communication theory, which demonstrates how to reliably transmit signals over distance, to understand why a multilegged robot was so successful at locomotion. The theory of communication suggests that one way to ensure a message gets from point A to point B on a noisy line isn’t to send it as an analog signal, but to break it into discrete digital units and repeat these units with an appropriate code.

“We were inspired by this theory, and we tried to see if redundancy could be helpful in matter transportation,” said Baxi Chong, a physics postdoctoral researcher. “So, we started this project to see what would happen if we had more legs on the robot: four, six, eight legs, and even 16 legs.”

A team led by Chong, including School of Mathematics postdoctoral fellow Daniel Irvine and Professor Greg Blekherman, developed a theory that proposes that adding leg pairs to the robot increases its ability to move robustly over challenging surfaces — a concept they call spatial redundancy. This redundancy makes the robot’s legs successful on their own without the need for sensors to interpret the environment. If one leg falters, the abundance of legs keeps it moving regardless. In effect, the robot becomes a reliable system to transport itself and even a load from A to B on difficult or “noisy” landscapes. The concept is comparable to how punctuality can be guaranteed on wheeled transport if the track or rail is smooth enough but without having to engineer the environment to create this punctuality.

“With an advanced bipedal robot, many sensors are typically required to control it in real time,” Chong said. “But in applications such as search and rescue, exploring Mars, or even micro robots, there is a need to drive a robot with limited sensing. There are many reasons for such sensor-free initiative. The sensors can be expensive and fragile, or the environments can change so fast that it doesn’t allow enough sensor-controller response time.”

To test this, Juntao He, a Ph.D. student in robotics, conducted a series of experiments where he and Daniel Soto, a master’s graduate in the George W. Woodruff School of Mechanical Engineering, built terrains to mimic an inconsistent natural environment. He then tested the robot by increasing its number of legs by two each time, starting with six and eventually expanding to 16. As the leg count increased, the robot could more agilely move across the terrain, even without sensors, as the theory predicted. Eventually, they tested the robot outdoors on real terrain, where it was able to traverse in a variety of environments.

“It's truly impressive to witness the multilegged robot's proficiency in navigating both lab-based terrains and outdoor environments,” Juntao said. “While bipedal and quadrupedal robots heavily rely on sensors to traverse complex terrain, our multilegged robot utilizes leg redundancy and can accomplish similar tasks with open-loop control.”

Next Steps

The researchers are already applying their discoveries to farming. Goldman has co-founded a company that aspires to use these robots to weed farmland where weedkillers are ineffective.

“They’re kind of like a Roomba but outside for complex ground,” Goldman said. “A Roomba works because it has wheels that function well on flat ground. Until the development of our framework, we couldn’t confidently predict locomotor reliability on bumpy, rocky, debris-ridden terrain. We now have the beginnings of such a scheme, which could be used to ensure that our robots traverse a crop field in a certain amount of time.”

The researchers also want to refine the robot. They know why the centipede robot framework is functional, but now they’re determining the optimal number of legs to achieve motion without sensing in a way that is cost-effective yet still retains the benefits.

“In this paper, we asked, ‘How do you predict the minimum number of legs to achieve such tasks?’” Chong said. “Currently we only prove that the minimum number exists, but we don't know that exact number of legs needed. Further, we need to better understand the tradeoff between energy, speed, power, and robustness in such a complex system.”

CITATION:

Baxi Chong et al., Multilegged matter transport: A framework for locomotion on noisy landscapes.Science380,509-515(2023).DOI:10.1126/science.ade4985

This news release first appeared in the University of Arkansas Division of Agriculture newsroom, and has been tailored for Georgia Tech readers.

Researchers at Georgia Tech, the University of Arkansas System, the University of Nebraska-Lincoln, and Fort Valley State University in Georgia were awarded a $5 million grant to increase use of artificial intelligence and robotics in chicken processing to reduce waste in deboning and detect pathogens.

The grant from the U.S. Department of Agriculture’s National Institute of Food and Agriculture will establish the Center for Scalable and Intelligent Automation in Poultry Processing. The center, led by the University of Arkansas System Division of Agriculture, will join researchers from five institutions in three states in efforts to adapt robotic automation to chicken meat processing.

Douglas Britton, manager of the Agricultural Technology Research Program at the Georgia Tech Research Institute (GTRI), said his team was very excited to work on this project with experts at the four other institutions.

“The ultimate goal is to drive transformational innovation into the poultry and meat processing industry through automation, robotics, AI, and VR technologies,” Britton said. “Building on years of work in the GTRI Agricultural Technology Research Program, we are pleased to see that the USDA-NIFA has chosen this team to continue these efforts.”

Georgia Tech is a major partner in the project, and was awarded $2 million to focus on automating the processing lines that turn chickens into meat, said Jeyam Subbiah, professor and head of the food science department for the Division of Agriculture and the Dale Bumpers College of Agricultural, Food and Life Sciences at the University of Arkansas, and director of the project. The grant is for four years.

The Arkansas Agricultural Experiment Station, the research arm of the Division of Agriculture, will receive $2.2 million from the grant primarily to focus on food safety automation for poultry processing plants.

The remaining grant money will be divided between Julia McQuillan, Willa Cather professor of sociology at the University of Nebraska-Lincoln, and Brou Kuoakou, associate dean for research at Fort Valley State University in Georgia.

Jeff Buhr, a USDA Agricultural Research Service scientist, will contribute his expertise in broiler physiology to guide robotic deboning of meat, Subbiah said.

Georgia is the nation’s top broiler producer. Arkansas is number 3, according to 2021 figures from USDA.

Meeting the challenge

The recent impetus to automate chicken processing began with the Covid-19 pandemic, Subbiah said. The illness spread quickly among workers on the processing line. Since the worst of the pandemic, the poultry industry, like many others, has been having trouble hiring enough workers.

“Poultry processing lines began 70 to 80 years ago,” Subbiah said. “Since then, there have been only incremental changes in technology. Today, there’s a need for transformative change.”

Humans can feel when a knife hits a bone. In contrast, existing automation in poultry processing, like deboners, wastes a lot of meat.

“Human deboners leave about 13 percent of meat on the bones,” Subbiah said. “Automated deboners leave 16 to 17 percent. On an industrial scale, that’s a significant loss in value. We will use artificial intelligence and virtual reality to improve precision and reduce wastage.”

Automation can relieve labor shortages, Subbiah said. It also allows plants to locate in rural areas with a smaller labor force but nearer poultry houses and with lower property costs.

Initially, people working remotely may help advance robotic processing. Subbiah envisions workers logging on from home with virtual-reality goggles and haptics gloves to control robots located miles away.

While working remotely, the labor force will teach artificial intelligence how to cut up chickens of varying sizes and shapes.

“Automated machines right now are programmed to debone or cut up chickens based on an average size and shape. But no chicken is that size or shape,” Subbiah said. “Robot-wielded knives cut meat poorly. The machines have to learn how to adjust to the reality of random sizes and shapes.”

Georgia Tech’s participating scientists are all part of GTRI:

• Douglas Britton, manager of the Agricultural Technology Research Program
• Colin Trevor Usher, senior research scientist and branch head of robotics systems and technology, Agricultural Technology Research Program
• Ai-Ping Hu, principal research engineer, Agricultural Technology Research Program
• Konrad Ahlin, research engineer, Intelligent Sustainable Technologies Division
• Michael Park, research engineer, Intelligent Sustainable Technologies Division
• Benjamin Joffe, research scientist, Intelligent Sustainable Technologies Division
• Shreyes Melkote, the Morris M. Bryan, Jr. Professorship in Mechanical Engineering, associate director of the Georgia Tech Manufacturing Institute and executive director of the Novelis Innovation Hub

“We are thrilled to partner with our colleagues here in the Division of Agriculture, as well as our colleagues at Georgia Tech and the other participating institutions on this exciting project,” said David Caldwell, head of the Division of Agriculture’s poultry science department and director of the Center of Excellence for Poultry Science.

“We expect the findings from these coordinated research projects will be impactful for our stakeholders in the commercial poultry industry here in Northwest Arkansas and throughout the entire industry,” Caldwell said. “This project will help keep moving technology forward in processing and food safety of poultry.”

For more information about the project, see the original press release on the University of Arkansas Division of Agriculture website.

Artificial intelligence is already making headlines in the new year with the box office success of the movie M3GAN. Along with a TikTok dance craze and lots of laughs, the over-the-top horror movie/dark comedy about an AI-powered robot that runs amok is also inspiring discussion about the growing presence and impact of artificial intelligence in everyday life.

From the movie house to the warehouse to your house, AI seems like it's everywhere. That's because with a steady stream of new research and innovative applications reaching into nearly every industry and business sector, it is everywhere. Nevertheless, AI still holds enormous potential as the field continues to evolve.

To get a sense of what this evolution could look like in 2023, we turned to a small group of Ph.D. students from the College of Computing community that are currently pushing foundational and applied AI research forward in a broad spectrum of disciplines and fields.

The students shared their opinions on where AI might be headed in the new year, what some of the big tech stories could be, and why ethics in AI are so critically important.

Where will artificial intelligence and machine learning have the most impact in 2023?

"Artificial intelligence and machine learning will continue to have a huge impact on manufacturing and warehouses with labor shortages and worker turnover continuing to be a concern as more manufacturing and operations jobs are brought back to the United States from overseas. Additionally, AI/ML will continue to help ensure that manufacturing and warehouse facilities are operating as efficiently as possible from energy and material savings to worker safety and parts quality." – Zoe Klesmith Alexander, computational science and engineering Ph.D. student

"Right now, deep learning is on a trajectory to transform the creation space. Artwork and images, videos, data representation and storytelling, co-authoring, and summarizing documents... It's gotten really good." – Ben Hoover, machine learning Ph.D. student

"I think machine learning and AI will keep playing a huge role in how the world and society will be shaped over the next decade in many ways. It will make many other fields more efficient through ML and AI tools we are developing. In 2023, I think ML and AI will have the most impact on social media platforms, helping reduce hate speech, rumor spread, etc." – Agam A. Shah, machine learning Ph.D. student

"One of the big impacts this year may be driverless cars being in your neighborhood. Otherwise, it will be a slow steady drip of GPT3 and other OpenAI models suffusing all applications, making programmers much faster, making journalists faster, making academic articles and lit reviews much faster. We're at a 4th grader level, and I hope by the end of this year we'll be at the 6th grader level. Also, indoor turn-by-turn navigation will be everywhere in 2023 as well." – Brandon Biggs, human-centered computing Ph.D. student

What will be some of the big tech stories in 2023?

"ChatGPT and the GitHub Copilot lawsuit will keep making it into the news and cause more controversies. In general, AI ethics will become more important and get more focus as the technology keeps advancing." – Fabian Fleischer, cybersecurity, and privacy Ph.D. student

"Driverless car fleets will be coming to a city near you. A new battery technology will allow phones to keep their charge for a week. Meta realizes virtual reality (VR) head-mounted displays are for a limited market and uses headphones and phones to provide VR experiences." – Brandon Biggs

What’s an issue or industry that you think could benefit from a computing solution?

"Our reinterpretation of modern deep learning as energy-based associative memories has the potential to transform any industry that relies on foundation models -- giant architectures that require models that are "self-supervised" (learn on their own from data)." – Ben Hoover

"Inclusion in everything. Over 90 percent of websites on the internet have elements that are inaccessible to 25 percent of the world's population who have disabilities. Inclusive design will be the most important area where technology can be redesigned and created to have multiple sensory modalities and be properly programmed." – Brandon Biggs

"Currently, financial markets are far from efficient because they do not fully incorporate information available in large unstructured text data. With the latest development in natural language processing techniques, we can better understand the economy and therefore price financial markets better." – Agam A. Shah

There’s been increasing recognition of the vital role ethics should play in artificial intelligence. How do you see this issue evolving in the next year?

"Specifically in my research, I think explainable AI (XAI) is very important, especially if non-experts in ML will be using black-box ML solutions in a factory. It will be important for humans to trust and to understand the models especially if the models are being using to monitor quality on a safety-critical part.

"Additionally, using XAI for human interaction with robots that utilize deep learning to make decisions will be increasingly important as technologies like collaborative robots (cobots) are integrated into factories. I think in my area of research that it is always important to use automation to aid humans in jobs that are safe for humans to do and not to replace them." – Zoe Klesmith Alexander

"Big data is pretty much at its peak. Deep data, where your Alexa knows everything about you, or your phone knows everything about you, and rather than saying 'other people who watched this show liked this show,' it's going to say, 'I know you liked these shows, I think you'll like this show because of these reasons, one of which is because other people who liked all these other shows liked this show.' The ethical element will be how much of this data should these models use, and are people going to build a personal dataset that they can share with other apps, or is each app going to need to build their own dataset? The ethical question is who owns this data." – Brandon Biggs

"I think ethics will become more and more important going forward. We are making huge breakthroughs in machine learning and artificial intelligence, but the systems we are creating are producing racist, sexist, and stereotypical results. For example, a recent system, Galactica, developed by Facebook (Meta) is powerful. It can produce research articles by just simply providing it with the title. It comes with some serious ethical concerns, in some cases, it produces racist, sexist text. So, as we will keep developing better models and making success in parallel, we need to always keep in mind the ethical implications of these models." – Agam A. Shah

What research are you working on that you think people should know about or will have impact in 2023?

"Part of my research focuses on data-driven modeling of additive manufacturing processes to better control dimensional quality of the final part. Another part of my research focuses on detecting anomalies in real-time using computer vision and machine learning for both warehouses and manufacturing processes." – Zoe Klesmith Alexander

"Right now, deep learning is built on feed-forward mathematical operations that have little resemblance to the brain. I am working on a physics inspired approach to deep learning built around recurrent networks and energy functions. These architectures have the same mathematical foundation as the famous, biologically plausible Hopfield Network." – Ben Hoover

"I am currently working on two projects which, in my opinion, will have an impact in 2023. In one project, we are measuring the exposure of public firms to ongoing inflation. We are also understanding how inflation affects different firms differently based on the pricing power of the firm. As inflation is the highest in the last 40 years, our study is highly relevant now and in the coming years till we get inflation back in control.

"The second work is related to the first work in some ways. As inflation is rising, to control the inflation Federal Reserve Bank is tightening its monetary policy. In our second work, we are measuring the stance of monetary policy (measuring hawkish vs dovish stance) of the Fed using state-of-the-art NLP models to see its impact in various financial markets (Treasury market, Stock market, Crypto market, etc.)" – Agam A. Shah

By Frida Carrera

On Wednesday, April 13th 2022, the Undergraduate Research Opportunities Program (UROP) hosted the 16th annual Spring Undergraduate Research Symposium. UROP’s annual symposium is Georgia Tech’s largest undergraduate research colloquium and allows students to present their research and gain valuable skills and presentation experience. Each year the symposium also presents awards to the top poster and oral presentation from each college and honors the Outstanding Undergraduate Researcher (OUR) from each college. And with over 40 oral presentations and nearly 90 poster presentations, this year’s symposium proved to be another success for UROP and Georgia Tech.  

This year the symposium was held in Exhibition Hall and opened with an introduction and keynote address to students, faculty, and other non-presenters. Shortly after, the event moved into the poster presentations segment where undergraduate students displayed their research to judges, faculty, and other attendees. The oral presentations followed soon after and gave student researchers the opportunity to go more in-depth with their research and findings and answer any questions the judges and attendees had. To end the event, sponsoring colleges and departments recognized Outstanding Undergraduate Researchers from their respective colleges. Additionally, the symposium judges were tasked with selecting the top student researchers having exceptional poster and oral presentations. 

Any Georgia Tech undergraduate student interested in presenting their research is encouraged to apply for future symposiums and to build on research presentation skills, connect with other undergraduate researchers and faculty, and the chance to be recognized with awards by members of the Georgia Tech research community. UROP also hosts other research-related events and workshops throughout the school year to assist undergraduate students interested in research and build on their passions! 

To view the list of awardees and pictures from the event visit: https://symposium.urop.gatech.edu/awards/ 

To learn more about undergraduate research at Georgia Tech visit: https://urop.gatech.edu/

By Frida Carrera

During the summer of 2021, computer science student Neil Sanghavi and computer science recent grad Ahan Shah, both from Fairfax, VA, reconnected to catch up with one another and discuss the projects they were working on. In doing so they discovered a mutual resolve to create something using innovative technology and solve a problem relating to intellectual property, specifically patents. Both Neil and Ahan had just started to get into crypto trading and realized that NFT technology had more to offer than its collectible aspect. Here the idea of PatentX was created: to use NFT technology to provide utility in an antiquated space that lacked efficiency.

“It is estimated that we have $1 trillion in unused IP in the United States currently. Additionally, it is reported that there is $25.6 billion worth of patent monetization available today. This is why we created PatentX, a blockchain-backed marketplace to facilitate intellectual property transactions. We built this to make sure the little man innovators and entrepreneurs have an outlet to monetize and connect their patents with the world. Not only that, we are creating tools for large businesses, law firms, venture capitals to manage all of their IP on the blockchain that can handle transactions in seconds.”

Neil and Ahan describe their product launch process as a great learning experience and are firm believers that there can never be too much help. They are currently supported by DXPartners and have received help from various mentors and blockchain professionals. They have been able to traverse obstacles and learn about the marketing, finance, and business aspects behind building a startup despite coming from a technical background. 

Their vision for PatentX is to disrupt the traditional way intellectual property is being transacted and to become the World’s Next Web3 Patent Office. PatentX will be releasing an NFT collection of the most historic patent innovations this early March and encourage interested individuals to stay tuned for their launch. 

To learn more about PatentX visit their social media: 

Twitter: @PatentXNFT

Instagram: @PatentX.io

To learn more about student innovation at Georgia Tech visit: https://innovation.cae.gatech.edu/

By Frida Carrera

On April 2, 2022, Team carSEAL will represent Georgia Tech in the 6^th annual ACC InVenture Prize Competition hosted this year by Florida State University. Team members Shovan Bhatia, Joshua Cruz, Nicholas Lima, Derek Prusener, and Giancarlo Riccobono will compete against other teams in the ACC Conference for a chance to win up to $30,000 in prizes. 

carSEAL began with five biomedical engineering students collaborating on a capstone project. After being accepted into the highly sought-after Mayo Clinic Capstone Project, they received mentorship from Dr. Rabih Tawk, a world-renowned neurosurgeon. With his guidance, they learned that surgeons currently lack the tools to close the carotid artery after endovascular procedures. Through a pragmatic approach, the team developed 100+ conceptual designs and iterations. After numerous discussions with attending surgeons across the nation and preliminary testing, they developed carSEAL – a vascular closure device for the carotid artery. 

So far, the team has found the InVenture Prize process to be exhilarating.

“Through each round of this process, we have seen incredible teams working on impactful projects and it is exciting to be surrounded by such brilliant minds from numerous backgrounds. It has been especially rewarding working with so many supportive advisors from Georgia Tech, who have been through the startup process and have freely offered their expertise. Along each step of this process, we have learned something new to refine our pitch and ensure we are presenting our most competitive self at the ACC.”

Currently, aside from preparing for the ACC InVenture Prize, the carSEAL team is performing benchtop lab testing to evaluate its efficacy in animal models. Soon after, the team will be moving to pre-clinical studies on their path to obtaining FDA clearance before carSEAL is commercialized. Winning the ACC InVenture Prize would help them gain more traction and gather sufficient funds to help them with this process.

“I am extremely proud of our team’s achievements in the short 6 months that we have worked together. carSEAL has gained a lot of traction already and we are excited to see how far we can take this, hopefully bringing carSEAL to clinical practice within a few years,” Bhatia stated.

The Georgia Tech community can support carSEAL in the competition by voting for them for the People’s Choice Awards by visiting: https://accinventureprize.com/peoples-choice-voting. Online voting begins March 28.

To learn more about the ACC InVenture Prize visit https://accinventureprize.com.

By Frida Carrera

After almost a year of preparation, practice, and refinement, Georgia Tech’s annual InVenture Prize is down to six finalists competing in the final round on March 16^th. In this televised round, the final teams will pitch their inventions to a panel of judges and compete for the top prize of $20,000, assistance in patent-filing, and a spot in CREATE-X’s Startup Launch program.

In its 14^th year, the InVenture Prize competition features different innovations created by Georgia Tech students from all disciplines and backgrounds. For months prior to the final round, the finalists received coaching and assistance from mentors and coaches on building their prototypes, developing business models, and rehearsing their pitches to investors. The final six teams were chosen from previous preliminary and semifinal rounds that included a broad range of competitors. 

The finals of the InVenture Prize will air live from Georgia Tech’s Ferst Center for the Arts at 7:30 p.m. on March 16^th on Georgia Public Broadcasting. 

The 2022 finalist teams are:

The Foambuster: The Foambuster is a unique handheld tool that allows construction contractors to drastically cut down on the mess, hassle, and money spent that comes with installing exterior insulation.

Edward Diller, Mechanical Engineering, Los Angeles, CA

Davis Waln, Mechanical Engineering, Atlanta, GA

Christophe Senghor, Mechanical Engineering, Peachtree City, GA

Katelyn Sand, Mechanical Engineering, Westlake Village, CA

Jaime Paris Meseguer, Mechanical Engineering, Spain

Magic Crop: An application that uses the power of Artificial Intelligence and the rule of thirds to format any number of inputted pictures into the perfect headshot within seconds and without ever sending any images to the cloud or to a third-party server.

Megan Dass, Computer Science, Woodbridge, VA

Reflex: Emergency Medical Drone Response System to deliver life-saving medical equipment.

Nevin Gilbert, Computer Science, Boulder, CO

Usman Jamal, Computer Science, Tucker, GA

Sola: Sola provides a data-driven supplemental insurance plan which covers immediate out-of-pocket expenses for US homeowners following losses from tornadoes.

Brayden Drury, Mechanical Engineering, Park City, Utah

Wesley Pergament, Mechanical Engineering, Old Westbury, NY

StrideLink: Accessible gait analysis wearable for remote monitoring of walking asymmetry.

Marzeah (Zea) Khorramabadi, Computer Engineering, Birmingham, AL

Cassandra (Cassie) McIltrot, Biomedical Engineering, Sykesville, MD

Neel Narvekar, Computer Engineering, Arcadia, CA

Tony Wineman, Electrical Engineering, Woodstock, GA

Tabnam: AI-powered shopping assistant that leverages the knowledge of user experience data.

SooHoon Choi, Computer Science, South Korea

Daksh Gupta, Computer Science, Noida, India

Robert (Davis) Liddell, Computer Science, Lutherville, MD

Ethan Perry, Computer Science, Wellesley, MA

To request tickets for the event visit: https://inventureprize.gatech.edu/form/inventure-prize-ticket-request-f

To learn more about InVenture Prize visit: https://inventureprize.gatech.edu/

By Frida Carrera

On December 3, 2021, Startup Exchange presented the Fall 2021 Fellowship Pitch Competition sponsored by the Georgia Tech Student Innovation Program, Office of Undergraduate Education. The event took place at ATL Social Club in Tech Square, a major startup hub situated on Georgia Tech’s campus and perfect for those eager for innovation at GT. The event also welcomed partner companies and recruiters such as NCR and Stord. 

At this pitch-style event, six founder teams presented their innovative pitches and competed for first, second, and third place, each with a cash prize to aid in the advancement of their ideas. The first and second place winners of the competition were determined by three guest judges: Kathryn Petralia, co-founder of Kabbage and Drum; Thomas Suarez, co-founder of Teleport and Thiel Fellow; and Evan Jarecki, serial entrepreneur and BM at Startup Atlanta. The event commenced with a brief introduction by Startup Exchange executive board members, followed by presentations from the 6 teams including Fino, InSite, Jargon, and Tokenstack. After hearing each team’s pitch, the judges had time to deliberate and select the top two winners while the audience voted for the People’s Choice winner. Meanwhile, attendees were also able to hear from the partner companies and network while enjoying free perks such as food and beverages. 

“There are students everywhere across campus really starting on their start-ups and pursuing their dreams. Atlanta is a growing city and Georgia Tech is the perfect hub for that. These teams, we’re introducing them to entrepreneurship and giving those resources and intro-connections. By doing so, we’re inspiring them in a way. It’s just a great learning experience for them,” explained Startup Exchange’s Director of Fellowship Revanth Tiruveedhi.

Following the intermission, the judges presented the first-place award of $750 to Jargon, a browser extension that points out red flags in user contract agreements, as pitched by team members Kaleb Rasmussen and Devansh Khunteta. Second place of $500 was awarded to Eartheal by team members Colin Burnett, Philip Colt, Neal Austensen, and Brandon Sherrard. People's Choice of $250 was awarded to Tokenstack by team members Nitin Paul, Samrat Sahoo, Yatharth Bhargava, and Mohit Sahoo. The event then closed with remarks by Startup Exchange’s board members and photos with the participants.

To learn more about student innovation at Georgia Tech visit https://innovation.gatech.edu/  

In the last few years, mechanically assistive exosuits, long depicted in works of popular science fiction and film, have finally started to see commercial deployment, according to Aaron Young, professor in the George W. Woodruff School of Mechanical Engineering at Georgia Tech. Most of these exosuits have a so-called passive design, assisting the wearer with unpowered elements like springs. 

Active exosuits that incorporate electronics and powered motors are yet to be broadly applied. They tend to be big and heavy, and rely on rigid exoskeletons to transfer weight from body to ground. Exoskeletons add a great deal of stiffness, as well, Young said. Putting on most active exosuits is a little like becoming one with a forklift, restricting a wearer to lifting weights in a vertical plane.

For all these reasons, Young’s Asymmetric Back eXosuit (ABX) described in the October 5 issue of IEEE Transactions on Robotics is highly non-standard. There’s no exoskeleton, no rigid structure, nothing that makes contact with the floor. If the wearer is just standing there, it does nothing except for adding 14 pounds to their legs. But if they raise their body from a leaning over position, it makes a somewhat frantic noise: that is the sound of the ABX helping them rotate their torso, helping them twist. 

Although most active exosuits support vertical lifts, rotating and twisting movements are also ubiquitous, especially in certain fields of manual labor like garbage collection and baggage handling. In many cases, these motions can be awkward and strenuous, leading to work-related injuries as well as back pain, according to Young. Back pain, in turn, is directly correlated with the strength of compressive forces and shear forces that are applied to the spine.

In designing their exosuit, the researchers sought a way to reduce these loads on the spinal joints. Putting it on looks a little like donning a futuristic backpack. Two motors are first strapped onto the back of each upper thigh. These motors are then connected to the back of the opposite shoulders, each with their own cable, making for two cables that diagonally overlap. The exosuit provides assistance by applying tension to the cables when it detects a wearer rise from a bending posture.

“It's definitely a different sensation than a sort of standard exoskeleton. It's not your standard design,” said Young. 

Because the diagonal cables have a component of motion that is horizontal, they exert a pull on the torso that can aid in twisting it from side to side. In tests, the researchers showed that when a wearer of the ABX swung a weight from the ground to one side, the exosuit reduced their back muscle activations by an average of 16%, as measured by electromyography (EMG) sensors. The exosuit also provided a 37% reduction in back muscle exertion when a wearer lifted weights symmetrically, straight off the ground – an assistance level comparable to more rigid designs. 

“People definitely felt like the technology is assisting them, which is great. And we did see the concurrent EMG reduction,” said Young. “I think it’s a great first step.”

In a sense, wearing the exosuit is almost like strapping two additional muscles onto the body – unconventional muscles, which run directly from back to leg. Interestingly, it is the positioning of these muscles rather than their brute strength that makes them functional, said Young.

The motors pull the cables with much less power than the muscles in the body. However, the cables are positioned much further away from the joints. Through this positioning, the cables obtain greater leverage and mechanical advantage, allowing the wearer to reduce their overall muscular output and hence the load that they place on their spine. (Spinal loading was not directly measured in the study.)

Aside from its overall performance, it is the flexible, asymmetric nature of the suit that really makes it unique, Young said. There are currently no other active exosuits that provide assistance for twisting and rotating through a comparable range of motion. While other exosuits also use cables, none have arranged them along diagonal lines.

Young is currently seeking collaborations with industry partners to further develop the exosuit. In future work, he sees its control system as a point to improve. Currently, when a person raises their torso from a lowered position, the cables simply pull with constant tension. But it should be possible to make the system detect different actions of the wearer and adjust its pull in response.

References

J. M. Li, D. D. Molinaro, A. S. King, A. Mazumdar and A. J. Young, "Design and Validation of a Cable-Driven Asymmetric Back Exosuit," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2021.3112280.

About Georgia Tech

The Georgia Institute of Technology, or Georgia Tech, is a top 10 public research university developing leaders who advance technology and improve the human condition. The Institute offers business, computing, design, engineering, liberal arts, and sciences degrees. Its nearly 40,000 students representing 50 states and 149 countries, study at the main campus in Atlanta, at campuses in France and China, and through distance and online learning. As a leading technological university, Georgia Tech is an engine of economic development for Georgia, the Southeast, and the nation, conducting more than $1 billion in research annually for government, industry, and society.

By Jessica Barber

On April 21, 2021, biomedical engineering student Michael Pullen will serve as Georgia Tech’s representative in the fifth annual ACC InVenture Prize. Here he will compete with teams from twelve other universities for the chance to take home $30,000 in prizes.

Pullen’s invention first took root when he experienced the struggle of getting turf burn while playing football. While most players seek protection through regular compression sleeves, this often leads to decreased grip, more fumbles, and difficulty in maneuvering plays.

While working in sports medicine with the Atlanta Falcons, Pullen found a way to directly avoid this problem. LZRD Sleeve is a compressive sleeve that integrates gripping and moisture-wicking technology to deliver protection and control without sacrificing mobility nor comfort. 

Since then, LZRD Sleeve has secured its place in non-athletic arenas. A year ago, the world of sports halted due to COVID-19 shutdowns. It was then that Pullen sought other applications for his innovative sleeve — LZRD Sleeve has expanded its market to delivery drivers, gardeners, and maintenance workers seeking better performance and protection from harm. 

LZRD Sleeve is now being used by the largest U.S. courier service, and it has also been featured in Neil DeGrasse Tyson’s podcast StarTalk. On the same hand, Pullen has been in contact with a whopping five Fortune 500 companies. He ultimately hopes that InVenture Prize will show that with hard work, nothing is impossible.

 “Never in a million years would I have thought I would be representing Georgia Tech in the ACC InVenture Prize. Getting out of your comfort zone and trying new things is important, and by winning, I hope to set an example so that others might do the same,” Pullen stated.

Overall, winning the ACC InVenture Prize would allow LZRD Sleeve to expand even further through capital investments, uptakes in production, and coverage of associated legal fees.

The Georgia Tech community is encouraged to show Pullen its support through voting for the People’s Choice Award of $5,000. Voting is open from 8 a.m. on Monday, April 5 until midnight on Tuesday, April 6.

To vote, please text GATech to win the ACC InVenture Prize People’s Choice Award to 415-965-7445.

Winners will be announced on Wednesday, April 21 at 7 p.m. on PBS stations throughout the ACC region. 

More information about LZRD Sleeve can be found at lzrdtech.com.