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Startup’s autonomous drones precisely track warehouse inventories

Whether you’re a fulfillment center, a manufacturer, or a distributor, speed is king. But getting products out the door quickly requires workers to know where those products are located in their warehouses at all times. That may sound obvious, but lost or misplaced inventory is a major problem in warehouses around the world.

Corvus Robotics is addressing that problem with an inventory management platform that uses autonomous drones to scan the towering rows of pallets that fill most warehouses. The company’s drones can work 24/7, whether warehouse lights are on or off, scanning barcodes alongside human workers to give them an unprecedented view of their products.

“Typically, warehouses will do inventory twice a year — we change that to once a week or faster,” says Corvus co-founder and CTO Mohammed Kabir ’21. “There’s a huge operational efficiency you gain from that.”

Corvus is already helping distributors, logistics providers, manufacturers, and grocers track their inventory. Through that work, the company has helped customers realize huge gains in the efficiency and speed of their warehouses.

The key to Corvus’s success has been building a drone platform that can operate autonomously in tough environments like warehouses, where GPS doesn’t work and Wi-Fi may be weak, by only using cameras and neural networks to navigate. With that capability, the company believes its drones are poised to enable a new level of precision for the way products are produced and stored in warehouses around the world.

A new kind of inventory management solution

Kabir has been working on drones since he was 14.

“I was interested in drones before the drone industry even existed,” Kabir says. “I’d work with people I found on the internet. At the time, it was just a bunch of hobbyists cobbling things together to see if they could work.”

In 2017, the same year Kabir came to MIT, he received a message from his eventual Corvus co-founder Jackie Wu, who was a student at Northwestern University at the time. Wu had seen some of Kabir’s work on drone navigation in GPS-denied environments as part of an open-source drone project. The students decided to see if they could use the work as the foundation for a company.

Kabir started working on spare nights and weekends as he juggled building Corvus’ technology with his coursework in MIT’s Department of Aeronautics and Astronautics. The founders initially tried using off-the-shelf drones and equipping them with sensors and computing power. Eventually they realized they had to design their drones from scratch, because off-the-shelf drones did not provide the kind of low-level control and access they needed to build full-lifecycle autonomy.

Kabir built the first drone prototype in his dorm room in Simmons Hall and took to flying each new iteration in the field out front.

“We’d build these drone prototypes and bring them out to see if they’d even fly, and then we’d go back inside and start building our autonomy systems on top of them,” Kabir recalls.

While working on Corvus, Kabir was also one of the founders of the MIT Driverless program that built North America’s first competition-winning driverless race cars.

“It’s all part of the same autonomy story,” Kabir says. “I’ve always been very interested in building robots that operate without a human touch.”

From the beginning, the founders believed inventory management was a promising application for their drone technology. Eventually they rented a facility in Boston and simulated a warehouse with huge racks and boxes to refine their technology.

By the time Kabir graduated in 2021, Corvus had completed several pilots with customers. One customer was MSI, a building materials company that distributes flooring, countertops, tile, and more. Soon MSI was using Corvus every day across multiple facilities in its nationwide network.

The Corvus One drone, which the company calls the world’s first fully autonomous warehouse inventory management drone, is equipped with 14 cameras and an AI system that allows it to safely navigate to scan barcodes and record the location of each product. In most instances, the collected data are shared with the customer’s warehouse management system (typically the warehouse’s system of record), and any discrepancies identified are automatically categorized with a suggested resolution. Additionally, the Corvus interface allows customers to select no-fly zones, choose flight behaviors, and set automated flight schedules.

“When we started, we didn’t know if lifelong vision-based autonomy in warehouses was even possible,” Kabir says. “It turns out that it’s really hard to make infrastructure-free autonomy work with traditional computer vision techniques. We were the first in the world to ship a learning-based autonomy stack for an indoor aerial robot using machine learning and neural network based approaches. We were using AI before it was cool.”

To set up, Corvus’ team simply installs one or more docks, which act as a charging and data transfer station, on the ends of product racks and completes a rough mapping step using tape measurers. The drones then fill in the fine details on their own. Kabir says it takes about a week to be fully operational in a 1-million-square-foot facility.

“We don’t have to set up any stickers, reflectors, or beacons,” Kabir says. “Our setup is really fast compared to other options in the industry. We call it infrastructure-free autonomy, and it’s a big differentiator for us.”

From forklifts to drones

A lot of inventory management today is done by a person using a forklift or a scissor lift to scan barcodes and make notes on a clipboard. The result is infrequent and inaccurate inventory checks that sometimes require warehouses to shut down operations.

“They’re going up and down on these lifts, and there are all of these manual steps involved,” Kabir says. “You have to manually collect data, then there’s a data entry step, because none of these systems are connected. What we’ve found is many warehouses are driven by bad data, and there’s no way to fix that unless you fix the data you’re collecting in the first place.”

Corvus can bring inventory management systems and processes together. Its drones also operate safely around people and forklifts every day.

“That was a core goal for us,” Kabir says. “When we go into a warehouse, it’s a privilege the customer has given us. We don’t want to disrupt their operations, and we build a system around that idea. You can fly it whenever you need to, and the system will work around your schedule.”

Kabir already believes Corvus offers the most comprehensive inventory management solution available. Moving forward, the company will offer more end-to-end solutions to manage inventory the moment it arrives at warehouses.

“Drones actually only solve a part of the inventory problem,” Kabir says. “Drones fly around to track rack pallet inventory, but a lot of stuff gets lost even before it makes it to the racks. Products arrive, they get taken off a truck, and then they are stacked on the floor, and before they are moved to the racks, items have been lost. They’re mislabelled, they’re misplaced, and they’re just gone. Our vision is to solve that.”

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MIT affiliates receive 2025 IEEE honors

The IEEE recently announced the winners of their 2025 prestigious medals, technical awards, and fellowships. Four MIT faculty members, one staff member, and five alumni were recognized.

Regina Barzilay, the School of Engineering Distinguished Professor for AI and Health within the Department of Electrical Engineering and Computer Science (EECS) at MIT, received the IEEE Frances E. Allen Medal for “innovative machine learning algorithms that have led to advances in human language technology and demonstrated impact on the field of medicine.” Barzilay focuses on machine learning algorithms for modeling molecular properties in the context of drug design, with the goal of elucidating disease biochemistry and accelerating the development of new therapeutics. In the field of clinical AI, she focuses on algorithms for early cancer diagnostics. She is also the AI faculty lead within the MIT Abdul Latif Jameel Clinic for Machine Learning in Health and an affiliate of the Computer Science and Artificial Intelligence Laboratory, Institute for Medical Engineering and Science, and Koch Institute for Integrative Cancer Research. Barzilay is a member of the National Academy of Engineering, the National Academy of Medicine, and the American Academy of Arts and Sciences. She has earned the MacArthur Fellowship, MIT’s Jamieson Award for excellence in teaching, and the Association for the Advancement of Artificial Intelligence’s $1 million Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. Barzilay is a fellow of AAAI, ACL, and AIMBE.

James J. Collins, the Termeer Professor of Medical Engineering and Science, professor of biological engineering at MIT, and member of the Harvard-MIT Health Sciences and Technology faculty, earned the 2025 IEEE Medal for Innovations in Healthcare Technology for his work in “synthetic gene circuits and programmable cells, launching the field of synthetic biology, and impacting healthcare applications.” He is a core founding faculty member of the Wyss Institute for Biologically Inspired Engineering at Harvard University and an Institute Member of the Broad Institute of MIT and Harvard. Collins is known as a pioneer in synthetic biology, and currently focuses on employing engineering principles to model, design, and build synthetic gene circuits and programmable cells to create novel classes of diagnostics and therapeutics. His patented technologies have been licensed by over 25 biotech, pharma, and medical device companies, and he has co-founded several companies, including Synlogic, Senti Biosciences, Sherlock Biosciences, Cellarity, and the nonprofit Phare Bio. Collins’ many accolades are the MacArthur “Genius” Award, the Dickson Prize in Medicine, and election to the National Academies of Sciences, Engineering, and Medicine.

Roozbeh Jafari, principal staff member in MIT Lincoln Laboratory’s Biotechnology and Human Systems Division, was elected IEEE Fellow for his “contributions to sensors and systems for digital health paradigms.” Jafari seeks to establish impactful and highly collaborative programs between Lincoln Laboratory, MIT campus, and other U.S. academic entities to promote health and wellness for national security and public health. His research interests are wearable-computer design, sensors, systems, and AI for digital health, most recently focusing on digital twins for precision health. He has published more than 200 refereed papers and served as general chair and technical program committee chair for several flagship conferences focused on wearable computers. Jafari has received a National Science Foundation Faculty Early Career Development (CAREER) Award (2012), the IEEE Real-Time and Embedded Technology and Applications Symposium Best Paper Award (2011), the IEEE Andrew P. Sage Best Transactions Paper Award (2014), and the Association for Computing Machinery Transactions on Embedded Computing Systems Best Paper Award (2019), among other honors.

William Oliver, the Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science and professor of physics at MIT, was elected an IEEE Fellow for his “contributions to superconductive quantum computing technology and its teaching.” Director of the MIT Center for Quantum Engineering and associate director of the MIT Research Laboratory of Electronics, Oliver leads the Engineering Quantum Systems (EQuS) group at MIT. His research focuses on superconducting qubits, their use in small-scale quantum processors, and the development of cryogenic packaging and control electronics. The EQuS group closely collaborates with the Quantum Information and Integrated Nanosystems Group at Lincoln Laboratory, where Oliver was previously a staff member and a Laboratory Fellow from 2017 to 2023. Through MIT xPRO, Oliver created four online professional development courses addressing the fundamentals and practical realities of quantum computing. He is member of the National Quantum Initiative Advisory Committee and has published more than 130 journal articles and seven book chapters. Inventor or co-inventor on more than 10 patents, he is a fellow of the American Association for the Advancement of Science and the American Physical Society; serves on the U.S. Committee for Superconducting Electronics; and is a lead editor for the IEEE Applied Superconductivity Conference.

Daniela Rus, director of the MIT Computer Science and Artificial Intelligence Laboratory,  MIT Schwarzman College of Computing deputy dean of research, and the Andrew (1956) and Erna Viterbi Professor within the Department of Electrical Engineering and Computer Science, was awarded the IEEE Edison Medal for “sustained leadership and pioneering contributions in modern robotics.” Rus’ research in robotics, artificial intelligence, and data science focuses primarily on developing the science and engineering of autonomy, where she envisions groups of robots interacting with each other and with people to support humans with cognitive and physical tasks. Rus is a Class of 2002 MacArthur Fellow, a fellow of the Association for Computing Machinery, of the Association for the Advancement of Artificial Intelligence and of IEEE, and a member of the National Academy of Engineers and the American Academy of Arts and Sciences.

Five MIT alumni were also recognized.

Steve Mann PhD ’97, a graduate of the Program in Media Arts and Sciences, received the Masaru Ibuka Consumer Technology Award “for contributions to the advancement of wearable computing and high dynamic range imaging.” He founded the MIT Wearable Computing Project and is currently professor of computer engineering at the University of Toronto as well as an IEEE Fellow.

Thomas Louis Marzetta ’72 PhD ’78, a graduate of the Department of Electrical Engineering and Computer Science, received the Eric E. Sumner Award “for originating the Massive MIMO technology in wireless communications.” Marzetta is a distinguished industry professor at New York University’s (NYU) Tandon School of Engineering and is director of NYU Wireless, an academic research center within the department. He is also an IEEE Life Fellow.

Michael Menzel ’81, a graduate of the Department of Physics, was awarded the Simon Ramo Medal “for development of the James Webb Space Telescope [JWST], first deployed to see the earliest galaxies in the universe,” along with Bill Ochs, JWST project manager at NASA, and Scott Willoughby, vice president and program manager for the JWST program at Northrop Grumman. Menzel is a mission systems engineer at NASA and a member of the American Astronomical Society.

Jose Manuel Fonseca Moura ’73, SM ’73, ScD ’75, a graduate of the Department of Electrical Engineering and Computer Science, received the Haraden Pratt Award “for sustained leadership and outstanding contributions to the IEEE in education, technical activities, awards, and global connections.” Currently, Moura is the Philip L. and Marsha Dowd University Professor at Carnegie Mellon University. He is also a member of the U.S. National Academy of Engineers, fellow of the U.S. National Academy of Inventors, a member of the Portugal Academy of Science, an IEEE Fellow, and a fellow of the American Association for the Advancement of Science.

Marc Raibert PhD ’77, a graduate of the former Department of Psychology, now a part of the Department of Brain and Cognitive Sciences, received the Robotics and Automation Award “for pioneering and leading the field of dynamic legged locomotion.” He is founder of Boston Dynamics, an MIT spinoff and robotics company, and The AI Institute, based in Cambridge, Massachusetts, where he also serves as the executive director. Raibert is an IEEE Member.

Making classical music and math more accessible

Senior Holden Mui appreciates the details in mathematics and music. A well-written orchestral piece and a well-designed competitive math problem both require a certain flair and a well-tuned sense of how to keep an audience’s interest.

“People want fresh, new, non-recycled approaches to math and music,” he says. Mui sees his role as a guide of sorts, someone who can take his ideas for a musical composition or a math problem and share them with audiences in an engaging way. His ideas must make the transition from his mind to the page in as precise a way as possible. Details matter.

A double major in math and music from Lisle, Illinois, Mui believes it’s important to invite people into a creative process that allows a kind of conversation to occur between a piece of music he writes and his audience, for example. Or a math problem and the people who try to solve it. “Part of math’s appeal is its ability to reveal deep truths that may be hidden in simple statements,” he argues, “while contemporary classical music should be available for enjoyment by as many people as possible.”

Mui’s first experience at MIT was as a high school student in 2017. He visited as a member of a high school math competition team attending an event hosted and staged by MIT and Harvard University students. The following year, Mui met other students at math camps and began thinking seriously about what was next.

“I chose math as a major because it’s been a passion of mine since high school. My interest grew through competitions and continued to develop it through research,” he says. “I chose MIT because it boasts one of the most rigorous and accomplished mathematics departments in the country.”

Mui is also a math problem writer for the Harvard-MIT Math Tournament (HMMT) and performs with Ribotones, a club that travels to places like retirement homes or public spaces on the Institute’s campus to play music for free. He cites French composer Maurice Ravel as one of his major musical influences.

Mui studies piano with Timothy McFarland, an artist affiliate at MIT, through the MIT Emerson/Harris Fellowship Program, and previously studied with Kate Nir and Matthew Hagle of the Music Institute of Chicago. He started piano at the age of five and cites French composer Maurice Ravel as one of his major musical influences.

As a music student at MIT, Mui is involved in piano performance, chamber music, collaborative piano, the MIT Symphony Orchestra as a violist, conducting, and composition.

He enjoys the incredible variety available within MIT’s music program. “It offers everything from electronic music to world music studies,” he notes, “and has broadened my understanding and appreciation of music’s diversity.”

Collaborating to create

Throughout his academic career, Mui found himself among like-minded students like former Yale University undergraduate Andrew Wu. Together, Mui and Wu won an Emergent Ventures grant. In this collaboration, Mui wrote the music Wu would play. Wu described his experience with one of Mui’s compositions, “Poetry,” as “demanding serious focus and continued re-readings,” yielding nuances even after repeated listens.

Another of Mui’s compositions, “Landscapes,” was performed by MIT’s Symphony Orchestra in October 2024 and offered audiences opportunities to engage with the ideas he explores in his music.

One of the challenges Mui discovered early is that academic composers sometimes create music audiences might struggle to understand. “People often say that music is a universal language, but one of the most valuable insights I’ve gained at MIT is that music isn’t as universally experienced as one might think,” he says. “There are notable differences, for example, between Western music and world music.” 

This, Mui says, broadened his perspective on how to approach music and encouraged him to consider his audience more closely when composing. He treats music as an opportunity to invite people into how he thinks. 

Creative ideas, accessible outcomes

Mui understands the value of sharing his skills and ideas with others, crediting the MIT International Science and Technology Initiatives (MISTI) program with offering multiple opportunities for travel and teaching. “I’ve been on three MISTI trips during IAP [Independent Activities Period] to teach mathematics,” he says. 

Mui says it’s important to be flexible, dynamic, and adaptable in preparation for a fulfilling professional life. Music and math both demand the development of the kinds of soft skills that can help him succeed as a musician, composer, and mathematician.

“Creating math problems is surprisingly similar to writing music,” he argues. “In both cases, the work needs to be complex enough to be interesting without becoming unapproachable.” For Mui, designing original math problems is “like trying to write down an original melody.”

“To write math problems, you have to have seen a lot of math problems before. To write music, you have to know the literature — Bach, Beethoven, Ravel, Ligeti — as diverse a group of personalities as possible.”

A future in the notes and numbers

Mui points to the professional and personal virtues of exploring different fields. “It allows me to build a more diverse network of people with unique perspectives,” he says. “Professionally, having a range of experiences and viewpoints to draw on is invaluable; the broader my knowledge and network, the more insights I can gain to succeed.”

After graduating, Mui plans to pursue doctoral study in mathematics following the completion of a cryptography internship. “The connections I’ve made at MIT, and will continue to make, are valuable because they’ll be useful regardless of the career I choose,” he says. He wants to continue researching math he finds challenging and rewarding. As with his music, he wants to strike a balance between emotion and innovation.

“I think it’s important not to pull all of one’s eggs in one basket,” he says. “One important figure that comes to mind is Isaac Newton, who split his time among three fields: physics, alchemy, and theology.” Mui’s path forward will inevitably include music and math. Whether crafting compositions or designing math problems, Mui seeks to invite others into a world where notes and numbers converge to create meaning, inspire connection, and transform understanding.

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