Tech
Teaching robots to map large environments
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain.
Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even the best models can only process a few images at a time. In a real-world disaster where every second counts, a search-and-rescue robot would need to quickly traverse large areas and process thousands of images to complete its mission.
To overcome this problem, MIT researchers drew on ideas from both recent artificial intelligence vision models and classical computer vision to develop a new system that can process an arbitrary number of images. Their system accurately generates 3D maps of complicated scenes like a crowded office corridor in a matter of seconds.
The AI-driven system incrementally creates and aligns smaller submaps of the scene, which it stitches together to reconstruct a full 3D map while estimating the robot’s position in real-time.
Unlike many other approaches, their technique does not require calibrated cameras or an expert to tune a complex system implementation. The simpler nature of their approach, coupled with the speed and quality of the 3D reconstructions, would make it easier to scale up for real-world applications.
Beyond helping search-and-rescue robots navigate, this method could be used to make extended reality applications for wearable devices like VR headsets or enable industrial robots to quickly find and move goods inside a warehouse.
“For robots to accomplish increasingly complex tasks, they need much more complex map representations of the world around them. But at the same time, we don’t want to make it harder to implement these maps in practice. We’ve shown that it is possible to generate an accurate 3D reconstruction in a matter of seconds with a tool that works out of the box,” says Dominic Maggio, an MIT graduate student and lead author of a paper on this method.
Maggio is joined on the paper by postdoc Hyungtae Lim and senior author Luca Carlone, associate professor in MIT’s Department of Aeronautics and Astronautics (AeroAstro), principal investigator in the Laboratory for Information and Decision Systems (LIDS), and director of the MIT SPARK Laboratory. The research will be presented at the Conference on Neural Information Processing Systems.
Mapping out a solution
For years, researchers have been grappling with an essential element of robotic navigation called simultaneous localization and mapping (SLAM). In SLAM, a robot recreates a map of its environment while orienting itself within the space.
Traditional optimization methods for this task tend to fail in challenging scenes, or they require the robot’s onboard cameras to be calibrated beforehand. To avoid these pitfalls, researchers train machine-learning models to learn this task from data.
While they are simpler to implement, even the best models can only process about 60 camera images at a time, making them infeasible for applications where a robot needs to move quickly through a varied environment while processing thousands of images.
To solve this problem, the MIT researchers designed a system that generates smaller submaps of the scene instead of the entire map. Their method “glues” these submaps together into one overall 3D reconstruction. The model is still only processing a few images at a time, but the system can recreate larger scenes much faster by stitching smaller submaps together.
“This seemed like a very simple solution, but when I first tried it, I was surprised that it didn’t work that well,” Maggio says.
Searching for an explanation, he dug into computer vision research papers from the 1980s and 1990s. Through this analysis, Maggio realized that errors in the way the machine-learning models process images made aligning submaps a more complex problem.
Traditional methods align submaps by applying rotations and translations until they line up. But these new models can introduce some ambiguity into the submaps, which makes them harder to align. For instance, a 3D submap of a one side of a room might have walls that are slightly bent or stretched. Simply rotating and translating these deformed submaps to align them doesn’t work.
“We need to make sure all the submaps are deformed in a consistent way so we can align them well with each other,” Carlone explains.
A more flexible approach
Borrowing ideas from classical computer vision, the researchers developed a more flexible, mathematical technique that can represent all the deformations in these submaps. By applying mathematical transformations to each submap, this more flexible method can align them in a way that addresses the ambiguity.
Based on input images, the system outputs a 3D reconstruction of the scene and estimates of the camera locations, which the robot would use to localize itself in the space.
“Once Dominic had the intuition to bridge these two worlds — learning-based approaches and traditional optimization methods — the implementation was fairly straightforward,” Carlone says. “Coming up with something this effective and simple has potential for a lot of applications.
Their system performed faster with less reconstruction error than other methods, without requiring special cameras or additional tools to process data. The researchers generated close-to-real-time 3D reconstructions of complex scenes like the inside of the MIT Chapel using only short videos captured on a cell phone.
The average error in these 3D reconstructions was less than 5 centimeters.
In the future, the researchers want to make their method more reliable for especially complicated scenes and work toward implementing it on real robots in challenging settings.
“Knowing about traditional geometry pays off. If you understand deeply what is going on in the model, you can get much better results and make things much more scalable,” Carlone says.
This work is supported, in part, by the U.S. National Science Foundation, U.S. Office of Naval Research, and the National Research Foundation of Korea. Carlone, currently on sabbatical as an Amazon Scholar, completed this work before he joined Amazon.
Tech
The Doomsday Glacier Is Getting Closer and Closer to Irreversible Collapse
Known as the “Doomsday Glacier,” the Thwaites Glacier in Antarctica is one of the most rapidly changing glaciers on Earth, and its future evolution is one of the biggest unknowns when it comes to predicting global sea level rise.
The eastern ice shelf of the Thwaites Glacier is supported at its northern end by a ridge of the ocean floor. However, over the past two decades, cracks in the upper reaches of the glacier have increased rapidly, weakening its structural stability. A new study by the International Thwaites Glacier Collaboration (ITGC) presents a detailed record of this gradual collapse process.
Researchers at the Centre for Earth Observation and Science at the University of Manitoba, Canada, analyzed observational data from 2002 to 2022 to track the formation and propagation of cracks in the ice shelf shear zone. They discovered that as the cracks grew, the connection between the ice shelf and the mid-ocean ridge weakened, accelerating the upstream flow of ice.
The Crack in the Ice Shelf Widens in Two Stages
The study reveals that the weakening of the ice shelf occurred in four distinct phases, with crack growth occurring in two stages. In the first phase, long cracks appeared along the ice flow, gradually extending eastward. Some exceeded 8 km in length and spanned the entire shelf. In the second phase, numerous short cross-flow cracks, less than 2 km long, emerged, doubling the total length of the fissures.
Analysis of satellite images showed that the total length of the cracks increased from about 165 km in 2002 to approximately 336 km in 2021. Meanwhile, the average length of each crack decreased from 3.2 km to 1.5 km, with a notable increase in small cracks. These changes reflect a significant shift in the stress state of the ice shelf, that is, in the interaction of forces within its structure.
Between 2002 and 2006, the ice shelf accelerated as it was pulled by nearby fast-moving currents, generating compressive stress on the anchorage point, which initially stabilized the shelf. After 2007, the shear zone between the shelf and the Western ice tongue collapsed. The stress concentrated around the anchorage point, leading to the formation of large cracks.
Since 2017, these cracks have completely penetrated the ice shelf, severing the connection to the anchorage. According to researchers, this has accelerated the upstream flow of ice and turned the anchorage into a destabilizing factor.
Feedback Loop Collapse
One of the most significant findings of the study is the existence of a feedback loop: Cracks accelerate the flow of ice, and in turn, this increased speed generates new cracks. This process was clearly recorded by the GPS devices that the team deployed on the ice shelf between 2020 and 2022.
During the winter of 2020, the upward propagation of structural changes in the shear zone was particularly evident. These changes advanced at a rate of approximately 55 kilometers per year within the ice shelf, demonstrating that structural collapse in the shear zone directly impacts upstream ice flow.
Tech
Grado’s Signature S750 Headphones Sound Modern but Feel Like the ’70s
The friction-pole mechanism for headband adjustment is no less agricultural, for all its familiarity where Grado headphone designs are concerned. And while the detachable cable is a fair bit more flexible than some older Grado models, that’s not the same as saying it’s meaningfully flexible. If there’s a more willfully unhelpful length of cable in all of headphone-land, I’ve yet to encounter it.
On the subject of the cable: Grado provides 180-ish centimeters of it with a 6.3-mm termination at the end. When you’re charging this sort of money for headphones, it’s not outlandish to imagine your customer might have a device that accepts a balanced connection. Frankly, why there isn’t a choice of cables in the packaging is, frankly, beyond me. It’s something that the overwhelming majority of Grado’s rivals provide as a matter of course, and though the company’s website suggests there are forthcoming cable options “including a variety of lengths, as well as balanced terminations such as 4-pin XLR and 4.4mm,” these have been “forthcoming” for quite some time now, and will have a cost attached.
Photograph: Simon Lucas
I’m in no position to doubt the effectiveness of the “B” ear cushions where sound quality is concerned. After all, the Signature S750 sound superb, and Grado suggests the cushion design is a contributing factor. What I do feel qualified to say, though, is that the raw-feeling foam of the ear cushions is not especially comfortable, and that it retains and returns the wearer’s body heat with something approaching glee. “Premium” and “luxurious” are not words that apply.
Ultimately, it depends on what your priorities are. There’s certainly no arguing with the way the Signature S750 sound. They’re uncomplicatedly impressive and periodically quite thrilling to listen to, depending on the mix. But unless you’re one of those hair-shirt hi-fi fundamentalists from back in the day, one of those listeners who somehow doesn’t believe outstanding sound quality is valid unless there’s some suffering attached, there may well be too many shortcomings to overlook when it comes to these Grados. “Hand-assembled in Brooklyn, USA” notwithstanding.
Tech
The Future of EVs Is Foggy—but California Still Wants More of Them
It’s been a weird and confusing few weeks for the auto industry—especially for those who hoped to see more batteries on the road in the coming decade.
Just this month: Ford announced a retrenchment in its EV business, canceling some battery-powered vehicle plans and delaying others; the European Commission proposed to backtrack its goal to transition fully to zero-emission cars by 2035; the US government said it would loosen rules that would have required automakers to ratchet up the fuel economy of their fleets. BloombergNEF projects 14 million fewer EVs will be sold in the US by 2030 than it did last year—a 20 percent drop.
What has not changed, it seems, is California’s interest in shifting to cleaner transportation. “The state is doubling down on our zero-emission vehicle deployment, providing market certainty, and continuing to lead on clean transportation regardless of policy reversals elsewhere or shifts by automakers,” Anthony Martinez, a spokesperson for Governor Gavin Newsom, wrote in a statement to WIRED. He said the governor’s “commitment to accelerating California’s clean transportation transition hasn’t changed.”
In 2020, Newsom became one of the first lawmakers in the world to commit to full electrification when he signed an executive order directing state agencies to create rules that would ban the sale of new gas-powered cars in the state by 2035. Those rules eventually aimed to ratchet up the share of battery-electric vehicles, with an ultimate goal of a mix of pure EVs and plug-in hybrids. (The PHEVs could only account for about 20 percent of sales.) Several other states, including Massachusetts, New York, Oregon, and Washington State, pledged to do the same.
Earlier this year, the GOP-led Congress revoked, through legislation, California’s power to set its own clean air regulations. The state responded with a lawsuit, which is still being argued. Meanwhile, Newsom signed another executive order directing state agencies to further the state’s electrification goals in other ways.
Now auto industry experts and players say the state’s determination to push through policy and market changes to meet its now half-decade-old goal may be overly ambitious.
“Getting to 100 percent might be challenging,” says Stephanie Valdez Streaty, the director of industry insights at Cox Automotive. “There are a lot of headwinds.”
A coalition of California business groups have argued that the state’s goals even for next year—a requirement that 35 percent of model year 2026 vehicles sold are zero-emission—aren’t realistic, and that California should push back its goals for zero-emission new car sales. (Enforcement of the rules is paused while the larger battle with US Congress plays out.) Zero-emission cars accounted for 21 percent of the overall annual state new car sales as of the fall, according to the California New Car Dealers Association, well below the 35 percent goal. “The timeline needed to be adjusted,” says the group’s president, Brian Maas.
-
Business1 week agoHitting The ‘High Notes’ In Ties: Nepal Set To Lift Ban On Indian Bills Above ₹100
-
Business1 week agoStudying Abroad Is Costly, But Not Impossible: Experts On Smarter Financial Planning
-
Business1 week agoKSE-100 index gains 876 points amid cut in policy rate | The Express Tribune
-
Sports7 days agoJets defensive lineman rips NFL officials after ejection vs Jaguars
-
Fashion4 days agoIndonesia’s thrift surge fuels waste and textile industry woes
-
Business4 days agoBP names new boss as current CEO leaves after less than two years
-
Tech1 week agoFor the First Time, AI Analyzes Language as Well as a Human Expert
-
Entertainment7 days agoPrince Harry, Meghan Markle’s 2025 Christmas card: A shift in strategy
