News
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.
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- The new iRobot Terra robotic lawn mower. | Credit: iRobot Corp.
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- The new iRobot Terra robotic lawn mower during install. | Credit: iRobot Corp.
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- 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.
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In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
