Technology
Researchers Develop Breakthrough Imaging Tech That Lets Robots See Inside Boxes
The system, called mmNorm, uses millimeter wave (mmWave) signals — commonly used in Wi-Fi networks — to reconstruct high-resolution 3D shapes of objects that are fully occluded from view
A team of researchers at the Massachusetts Institute of Technology (MIT) has developed a new imaging technology that allows robots to see hidden objects — such as tools buried under packing material or items tucked inside drawers — with unprecedented accuracy.
The system, called mmNorm, uses millimeter wave (mmWave) signals — commonly used in Wi-Fi networks — to reconstruct high-resolution 3D shapes of objects that are fully occluded from view. The method achieved 96% reconstruction accuracy on complex-shaped items such as mugs, power tools, and silverware — outperforming existing methods by a wide margin.
In a media statement, Fadel Adib, associate professor in MIT’s Department of Electrical Engineering and Computer Science and senior author of the study, said:
“We’ve been interested in this problem for quite a while, but past methods weren’t getting us where we needed to go. We needed a very different way of using these signals than what’s been done for over 50 years.”
Seeing What’s Invisible
mmNorm works by capturing and interpreting the way mmWave signals bounce off surfaces — even when those surfaces are hidden from view. Unlike traditional radar, which struggles to image small items with detail, mmNorm estimates the direction of each object’s surface using signal strength and geometry, then reconstructs a full 3D model from that data.
“Some antennas might have a very strong vote, some might have a very weak vote… and we combine all votes to produce one surface normal that is agreed upon by all antenna locations,” explained Laura Dodds, lead author and MIT research assistant, in a media statement.
The researchers built a prototype by mounting a radar unit on a robotic arm, which moved around the object while collecting signal data. This allowed the system to determine not just what an object was, but its exact shape and orientation — crucial information for robots tasked with delicate or complex manipulation.
Real-World Applications
The implications of mmNorm are wide-ranging. In manufacturing or warehouses, it could enable robots to retrieve the right tool or part from cluttered drawers or sealed containers. In homes or assisted living facilities, it could allow service robots to interact more naturally and safely with everyday items. In security and defense, the technology could enhance the detection of concealed objects in scanners.
“Our qualitative results really speak for themselves. The amount of improvement you see makes it easier to develop new applications using these reconstructions,” said Tara Boroushaki, co-author and research assistant.
The system also successfully distinguished between multiple objects made of different materials — including wood, glass, plastic, and metal — although its performance drops when objects are behind thick walls or metallic barriers.
The research team aims to improve mmNorm’s resolution, enhance its ability to handle less reflective materials, and make it more robust for use through thicker obstructions.
“This work really represents a paradigm shift in how we think about these signals and the 3D reconstruction process,” Dodds added. “We’re excited to see how the insights we’ve gained here can have a broad impact.”
The study, co-authored by Fadel Adib, Laura Dodds, Tara Boroushaki, and former MIT postdoc Kaichen Zhou, was presented at the 2025 Annual International Conference on Mobile Systems, Applications and Services (ACM MobiSys 2025).
Technology
Karnataka Lets Students Choose AI Over a Third Language. Is This the Future of School Education?
Karnataka has introduced an AI curriculum that allows Class 9 and 10 students in government schools to opt for Artificial Intelligence instead of a third language. The move makes the state one of the first in India to integrate AI into the curriculum in this way, sparking debate over technology and multilingual education.
The Karnataka AI curriculum marks a major shift in school education, making the state one of the first in India to allow students to choose Artificial Intelligence (AI) instead of a third language. From the 2026–27 academic year, students in Classes 9 and 10 across 1,642 government high schools can opt for AI as a vocational subject under the National Skills Qualifications Framework (NSQF). The move positions Karnataka at the forefront of efforts to integrate emerging technologies into mainstream school education while redefining how future-ready skills are taught.
The Karnataka AI curriculum reflects a growing push to equip students with skills needed in an economy increasingly shaped by automation and digital technologies. While several states have introduced AI in classrooms, Karnataka has taken a different approach by integrating it into the curriculum as an alternative to the third language.
Karnataka AI Curriculum Focuses on Future Skills
According to the School Education and Literacy Department, AI will be introduced in schools offering NSQF vocational courses. It will replace the existing vocational subject and serve as an alternative to the third language. Each participating school will appoint a guest AI instructor, while third-language teachers will be redeployed to schools facing vacancies.

The curriculum is expected to introduce students to AI fundamentals, computational thinking, problem-solving and the responsible use of emerging technologies. Officials say the initiative is intended to prepare students for higher education and careers in technology-driven sectors.
The move also follows Karnataka’s earlier decision to exclude third-language marks from the SSLC aggregate, signalling a gradual shift towards skill-based learning.
How Other States Are Introducing AI
The Karnataka AI curriculum stands apart from initiatives in other states, where AI has largely been added to the existing syllabus rather than replacing a language subject.
Tamil Nadu’s TN SPARK programme, for example, introduces AI, robotics, coding and digital tools to students in selected government schools. However, these subjects complement the existing curriculum instead of substituting any language requirement.
Similarly, the Ministry of Education has proposed integrating AI and computational thinking into school education through the National Curriculum Framework. The focus is on building AI literacy alongside core academic subjects.
CBSE has also expanded AI education in affiliated schools while continuing to follow the three-language formula under the National Education Policy (NEP) 2020, although the third language is not part of the Class 10 board examination.
A Shift in Education Priorities
The Karnataka AI curriculum reflects a broader debate on how schools should prepare students for a rapidly changing world.
Supporters believe early exposure to AI can improve digital literacy, encourage innovation and better prepare students for future careers. As AI increasingly influences industries ranging from healthcare to manufacturing, familiarity with the technology is becoming a valuable skill beyond the information technology sector.
However, language educators argue that multilingual education plays an important role in cognitive development, communication skills and preserving India’s linguistic diversity. Teacher associations have also expressed concerns over the redeployment of language teachers and the long-term impact on third-language learning.
Can Karnataka’s AI Curriculum Become a Model?
The success of the Karnataka AI curriculum will depend on more than policy changes. Schools will need trained teachers, adequate digital infrastructure, computer laboratories and reliable internet connectivity to deliver meaningful AI education.
The initiative also raises an important question for education policymakers across India: should emerging technologies be integrated into existing curricula, or should they replace traditional subjects to make room for future-ready skills?
As other states continue experimenting with AI education, Karnataka’s model will be closely watched. If implemented effectively, the Karnataka AI curriculum could shape how schools across the country balance technological innovation with foundational learning.
Technology
From Sky to Sea: Bird-Inspired Robot Could Transform Ocean Exploration
Bird-inspired robot developed by MIT can fly, swim underwater and transition between air and water, offering a promising new tool for ocean exploration.
Exploring the ocean often requires a combination of ships, underwater vehicles and aerial drones. Researchers at the Massachusetts Institute of Technology and École Polytechnique Fédérale de Lausanne have developed a bird-inspired robot that could combine all three roles in a single machine. Called the Flapping-Wing Aerial-Aquatic Vehicle (FAAV), the 300-gram bird-inspired robot can fly through the air, swim underwater and transition seamlessly between the two, offering a new tool for ocean exploration. The findings, published in the journal Science, could also help scientists better understand how diving birds navigate two vastly different environments.
Learning from nature
The bird-inspired robot draws its design from diving birds such as puffins and loons, which hunt underwater without losing their ability to fly. These birds plunge beneath the surface in search of prey before launching themselves back into the air, a remarkable feat that engineers wanted to replicate.
To recreate this capability, the researchers studied the flight mechanics of several diving bird species. They found that smaller birds flap their wings roughly ten times per second while flying but reduce that frequency to about four times per second underwater. These observations became the foundation for designing the robot’s wing movements.

Replicating this behaviour was far from straightforward. Water is nearly 1,000 times denser than air, meaning a machine that performs efficiently in one environment is unlikely to function well in the other without significant adaptation.
“You have to do some adaptation to make that transition work. But there’s a solution that exists in nature,” said lead researcher Raphael Zufferey, assistant professor of mechanical engineering at MIT. “Birds like puffins can fly very fast through the air, and can dive and swim through water at speeds of 3 metres per second. They’re able to do pretty amazing things. So we knew it was possible. Just no one had tried this in a mobile robotic system.”, he said.
How the bird-inspired robot works
The bird-inspired robot consists of a waterproof central body containing a battery and electric motor, which powers a crankshaft to flap its wings. The flexible wings are coated with hydrophobic nanoparticles that repel water, while a motorised tail adjusts the robot’s pitch to help it climb into flight or dive beneath the surface.
Researchers tested three wing sizes in laboratory water tanks before conducting field trials in Switzerland’s Lake Geneva. After experimenting with different wing dimensions, flapping frequencies and tail angles, they found that medium-sized wings provided the best balance between underwater propulsion and stable flight.
During the trials, the bird-inspired robot swam underwater at speeds approaching one metre per second and flew through the air at around six metres per second. The team also discovered that pitching the robot at an angle of about 70 degrees allowed it to break through the water’s surface smoothly without its wings striking the water, enabling a successful transition into flight.
One of the study’s more surprising findings was that the bird-inspired robot did not require paddling feet to launch itself from the water. Many diving birds, including ducks and puffins, rely on their feet in addition to their wings when taking off from the water’s surface. In the robot’s case, however, carefully coordinated wing flapping and body positioning were enough to achieve the same result.
A new tool for ocean science
Beyond demonstrating an engineering achievement, researchers believe the bird-inspired robot could become a valuable tool for marine science. Instead of deploying costly research vessels, the robot could be launched from a boat or shoreline, fly to a remote study site, dive underwater to collect water samples or environmental measurements, return with the data, and repeat the mission multiple times a day.
“Our dream vision is for oceanographers, marine biologists and members of coastal communities to launch this robot from a boat, or from shore, and it would fly close to the area of interest, such as an iceberg or a port facility, or over a pod of whales. It would dive into the water to take a measurement or collect a sample, and fly back to deliver the data at a fraction of the cost of traditional methods. Then it could go back out to dive for more.” Zufferey said.
The research team is now working to improve the bird-inspired robot by enabling its wings to rotate as well as flap, while also testing its performance in rough seas and strong winds. If successful, the technology could pave the way for a new generation of hybrid aerial-aquatic robots, making ocean research faster, safer and significantly more cost-effective.
Technology
India’s Youngest Startup Founders Are Reaching for Space and Reinventing AI
At just 20, Onkar Singh Batra and Dhravya Shah are India’s youngest startup founders, building SpaceTech and AI ventures on the Hurun U30 List 2026.
India’s startup ecosystem is beginning to see a new generation of entrepreneurs who are starting younger and taking on increasingly complex technological challenges. This year’s youngest startup founders are just 20 years old, Onkar Singh Batra, founder of SpaceTech startup “Apolink”, and Dhravya Shah, founder of AI startup “Supermemory”. At just 20, they are the youngest entrepreneurs featured in the Avendus Wealth–Hurun India U30 List 2026, lowering the age benchmark from 22 in last year’s edition.
Building Solutions Beyond Their Years
At this young age, Batra and Shah are solving complex problems.
Batra founded Apolink to improve communication between low-Earth orbit satellites. As satellite constellations continue to expand worldwide, maintaining uninterrupted connectivity has become one of the industry’s key challenges. His startup is developing an inter-satellite broadband network designed to keep satellites connected without relying entirely on ground stations, helping improve the efficiency of future space communication systems.
Shah’s AI startup Supermemory, meanwhile, is focused on one of artificial intelligence’s biggest limitations. The startup is building what it describes as a memory layer for AI systems, enabling them to retain and retrieve information across interactions. As businesses increasingly integrate AI into their workflows, such capabilities are expected to make AI assistants more effective at handling long-term tasks and contextual decision-making.
Their ventures may be young, but both operate in technology sectors where innovation often requires years of research, engineering expertise and sustained investment.
A New Profile of Young Entrepreneurship
The inclusion of Batra and Shah reflects a broader evolution in India’s startup ecosystem, where younger founders are entering sectors that demand specialized technical knowledge.

“The 2026 U30 list reflects a decisive shift in India’s entrepreneurial landscape. One in four honourees are building in DeepTech and HardTech, spanning AI, SpaceTech, Aerospace & Defence, EVs and Cybersecurity. This marks a clear evolution from consumer-first startups to founders solving globally relevant, technology-intensive problems. The youngest entrepreneurs are now just 20 years old, underscoring how innovation is beginning earlier than ever,” said Anas Rahman Junaid, Founder and Chief Researcher at Hurun India.
The report also notes that 84 per cent of the entrepreneurs featured are first-generation founders, reflecting the growing accessibility of entrepreneurship beyond established business families.
Youngest Startup Founders Making an Early Mark
While Batra and Shah represent the youngest entrants on the list, several other founders in their early twenties have already built companies of remarkable scale.
Leading the list is Zepto, founded by Aadit Palicha and Kaivalya Vohra, both 23. The quick-commerce startup is the highest-funded company on this year’s U30 ranking, having raised US$2.3 billion. In just a few years, Zepto has grown into one of India’s most valuable startups, illustrating how quickly young entrepreneurs are translating ideas into businesses with national reach.
The ranking also features founders behind companies in fintech, healthcare, climate technology, defence, software and electric mobility, highlighting the breadth of sectors in which India’s under-30 entrepreneurs are making their mark.
Starting Younger, Aiming Further
The stories of Onkar Singh Batra and Dhravya Shah are about more than setting an age record. With greater access to technology, global networks, venture capital and startup support systems, young founders are entering the ecosystem earlier than previous generations. Many are choosing to solve problems that extend beyond consumer services, taking on challenges in fields such as artificial intelligence, space technology and advanced engineering.
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