Image courtesy of Geekwire.com
LA Tech Week: 3 Student Projects Emerge from NASA’s Space Accelerator Program
Almost every company in existence today has some sort of diversity and inclusion initiative. NASA, however, took theirs one step further — providing $50,000 in funding to three underrepresented groups in academia.
NASA’s Minority Serving Institutions (MSI) partnered with Starburst Aerospace and NASA’s Jet Propulsion Lab (JPL) to work with students as part of their beta space accelerator program. The course was designed to serve as a platform for innovators to build businesses to support technology and economic development.
In the program, students from the University of Massachusetts Boston, California State University and Fayetteville State University, along with faculty mentors, spent 10 weeks developing venture-backable businesses that have applications in multiple markets.
On Wednesday, the projects were presented as business proposals as part of L.A. Tech Week.
“L.A. has long been the aerospace capital of the world, and as we enter a new space economy, it continues to be, and we want to continue to build the industry here,” said Elizabeth Reynolds, managing director at Starburst Aerospace.
The first proposal, Mission Proteus, presented by Nhut Ho, a professor and director of NASA-Sponsored Autonomy Research Center for STEAHM (ARCS) at California State University, was designed to eliminate inefficiencies in existing autonomous software development methodology.
Photo by Andria Moore
Developers designing for autonomous software face many of the same obstacles as traditional developers, but they also face unique challenges. Proteus wants to provide a platform that unifies development tasks and workflows and allows for rapid testing. Building on NASA’s hard-won knowledge in autonomous development, the goal of Mission Proteus is to enable these systems to grow much more rapidly in other industries. Ho explained that his team wanted to eliminate the “pain” surrounding technical limitations of existing software.
The second proposal, ITX Drones, was presented by Thomas Materdey, senior lecturer of engineering in the College of Science and Mathematics at the University of Massachusetts Boston. The ITX team felt that, while revolutionary, drones today are missing a “real-life component.” The goal of ITX Drones was to create technology that would allow drones to more specifically respond to niche customer needs in ways that existing drones cannot—deliver medicines, provide surveillance or communicate with other drones. “Imagine being able to personally deliver a gift to your sister in Europe without having to wait a week,” Materdey said to the room of onlookers.
To make that a reality, their proposal aims to create drones that are capable of sending and receiving long-range data, have longer battery life and the ability to fly at any time of day. Their design incorporates fixed-wing rotors, precision landing capabilities, and lidar navigation, which would allow the drones to operate with extreme precision in novel environments.
SpireNeural, the final business proposal, would act as a software development company focused on enabling near-real-time data processing for autonomous systems with existing integrated devices. In other words, software that will speed up decision-making for our increasingly connected world.
Grace Vincent, an electrical and computer engineering Ph.D. candidate at North Carolina State University, explained that her team created SpireNueral in response to the California wildfires and the inefficiency of the tech used to detect them.
“How can we reduce overall response time?” she asked the room. “Edge computing.”
Edge computing is computational analyses that are done near the source of the data. SpireNeural was designed as an edge computing software solution that hopes to eliminate issues with wasteful computations, slow response times and power restrictions, instead making informed decisions at the edge.
For example, edge computing software could evaluate and make decisions about how to combat a forest fire at the site of the sensor rather than relaying that information to a central hub, waiting for it to be processed alongside other data and then relaying it to first responders.
The presentations were followed by a brief panel discussion on “Supporting Diversity in industry through investment,” where industry leaders from various venture capitalist firms discussed how the tech industry can work to be more inclusive.
Courtesy of Wavemaker Labs
Hayward, Calif.-based Abundant went under last year, citing difficulties “develop[ing] the market traction necessary to support its business during the pandemic.” Despite that failure, Wavemaker Labs founder and CEO Buck Jordan was convinced that the technology behind Abundant was solid, even if the startup’s execution ultimately failed.
“COVID essentially just killed their harvest season and killed the progress they needed to make in order to get the next round of financing,” Jordan told dot.LA. “[Abundant] kind of had to invent everything from scratch, and they’ve done a really great job. But there’s a lot of [technology] that’s cheaper off the shelf that can be used and swapped in.”
Abundant Robots’ automated apple-picking machine grabs an apple.Courtesy of Wavemaker Labs
Jordan, who is fond of statistics, notes that around 87 million metric tons of apples are produced globally each year—making it “far and away, in terms of tree fruit, the biggest category that there is.” He adds that harvesting labor accounts for roughly two-thirds of the cost that consumers pay for an apple at the grocery store, with farming costs only projected to grow in the coming years.
This is where Wavemaker sees the opportunity for Abundant Robots. The IP it acquired essentially constitutes a vacuum-suction apple-harvesting system that operates in tandem with AI-backed image recognition software. In other words, the robot can eye an apple tree and suck the ripe apples right off the branch.
The delicate nature of the suction technology was a key selling point for Wavemaker. “[With] apples, you’ve got to be really ginger with them,” Jordan said. “If you bruise an apple, the value of that particular apple goes down—and now it’s applesauce instead of being sold in Whole Foods.”
Abundant Robots is now looking to raise $20 million via crowdfunding to improve on its existing prototype. If it hits its goals, the next iteration of the machine should cost under $100,000 to produce and be able to pick an apple every one-to-1.5 seconds. That’s likely quicker than even the fastest human pickers, according to Jordan—and of course, the machine never gets tired.
Abundant’s technology may be good news if you’re an apple grower, but probably not if you’re an apple picker. Aviva Chomsky, a professor at Salem State University in Massachusetts who studies immigration and migrant labor in the U.S., believes that automation will likely exacerbate power imbalances between agricultural workers and their employers.
An aerial view of Abundant Robots’ apple-picking technology.Courtesy of Wavemaker Labs
“In an ideal socio-economic system, technologies could be used for the benefit of the many—but in our agricultural system, technologies are generally used for the benefit of the few and to the detriment of the many,” Chomsky told dot.LA.
While Wavemaker and others in the autonomous agriculture space are positioning their platforms as solutions to an ongoing labor shortage, labor advocates say their technologies could prove disastrous for America’s roughly 2.5 million farm workers and its rural farming communities.
“There is what I perceive to be a very insincere narrative—or perhaps more graciously, an incomplete narrative—about what’s really happening,” according to Erik Nicholson, a consultant and former national vice president of the United Farm Workers labor union. “That, to me, is about as sincere as saying Facebook is about connecting friends and family.”
Like Facebook, Nicholson thinks much of the actual value in technology like Abundant Robots’ machines will come from data collection. As tech companies are able to put more intelligent machinery on farms, they’ll be able to collect data on elements such as soil moisture, crop productivity and temperature.
About 87 million metric tons of apples are produced globally each year.Courtesy of Wavemaker Labs
How tech companies choose to leverage that data remains to be seen. They could provide farmers with insights into how to grow more crops in a more efficient and sustainable manner. Nicholson, however, expects that the trend toward automation will come at a cost to farmers.
“Whoever writes the algorithms and has access to the data has tremendous power,” he said. “Do we want to just hand that over to the VCs in Silicon Valley and say they’re going to make the determinations about what’s growing, how and when?”
Critics agree that there’s no easy solution that simultaneously keeps food prices low, saves growers from going bankrupt and pays farmworkers a living wage. Yet as automotion promises to upend the agriculture industry’s status quo, they argue that farm workers at least deserve a seat at the table as billions in investment capital pour into the industry.
Otherwise, Nicholson said he fears that “we’re going to see an ongoing extraction of wealth into the hands of investors—who largely do not live in [farming communities like] Mabton, Wash. or Delano, Calif.”
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