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iRobot is going outdoors with an autonomous Roomba lawn mower with smart mapping tech
Mowing the lawn can quickly get in the way of summer fun, just like vacuuming and mopping interfere with just about anything else you might rather be doing. Never fear, iRobot, the company that brought you the Roomba robotic vacuum cleaner and Braava electronic mop, has been listening. Yesterday, the robotic chore solution company announced its launch of Terra, an intelligent lawn mower ready to do your outdoor bidding. According to iRobot’s press release, it will be on sale in Germany and the US, the latter being through a beta program only; however, no exact release date has been provided.
To accomplish its yard travels, iRobot’s Imprint Smart Mapping technology, which is arguably one of the features that made Roomba so popular, has been incorporated into Terra’s functionality. The new grass buster also has some other convenience features in common with its indoor cousins: It recharges on its own by returning to a docking base and can be controlled via an app on either a smartphone or digital assistant. For its more unique features, Terra’s designers relied on the current masters of lawn care for inspiration: humans.
Rather than follow any sort of random get-it-done movement path a Roomba might follow to clean a floor, Terra has a preprogrammed pattern modeled after the straight, back-and-forth lines typically used for mowing. If the battery is running low, the robot returns to its base to recharge, picking up where it left off until its task is complete. The grass cut length is also programmable for heights of about 1″ to about 2.5″, but it should be noted that Terra’s function focus being on maintenance over heavy cut jobs.
- The new iRobot Terra robotic lawn mower. | Credit: iRobot Corp.
- The new iRobot Terra robotic lawn mower during install. | Credit: iRobot Corp.
- Beacons used when installing iRobot’s Terra robot lawn mower. | Credit: iRobot Corp.
The weather isn’t lost on this outdoor helper, either. Terra has been designed with rugged features so that rainy conditions – and by extension, tough terrain – will not prevent it from doing its job. As for grass clippings? There aren’t any or at least any that need to be hauled off to the trash like classic lawn mowers. Sliced blades of grass are refined into tiny mulch bits that double as fertilizer.
Of course, iRobot isn’t the first company to venture into automated lawn maintenance solutions. Swedish manufacturer Husqvarna’s Automower robotically maintains lawns using frequent trips around a programmed area, naturally fertilizes soil with miniscule clippings, mows any time of day and in inclement weather, resists theft with a built-in alarm, and is controlled via app using smartphone or digital assistant. It uses an installed boundary line for yard area detection, however, making set-up more complicated than regular operation. German outdoor product manufacturer GARDENA and Wisconsin-based McCullough Motors have their own lawn robots as well – the SILENO and ROB R1000, respectively, with similar features as well as a required boundary line.
After a survey of the lawn robot market, iRobot took aim to eliminate costly and labor-intensive ground wiring which is required to operate other auto mowers. For Terra, the company developed a wireless communications system incorporating standalone beacons, enabling users to simply program their lawn’s boundary line after placing the beacons around their yard. The intelligent detection software developed by iRobot for its other robotic household helpers combined with a simpler installation process may just give the company an edge over its established competitors in the lawn bot arena.
Read iRobot’s full Terra Press Release.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.


