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NASA aces most challenging Mars rover landing to date
After a nearly 300 million mile (480 million kilometer), seven-month-long journey, the world watched as NASA’s Mars 2020 Perseverance mission successfully completed the most challenging and precise landing the agency has ever attempted on Thursday (Feb. 18). Perseverance is NASA’s fifth rover and overall ninth mission to successfully land on the Red Planet.
On Thursday afternoon, the alien invader punched through the relatively thin Martian atmosphere streaking across the sky at a blazing 12,100 mph (19,500 kph). Then it shed a few layers, deployed the largest-ever supersonic parachute, and slowed down just enough to use a rocket-propelled crane to drop an autonomous, nuclear-powered, robotic astrobiologist called Perseverance on the surface of Mars.
Flawlessly completing the entry, descent, and landing sequence of its mission to land in Mars’ hostile Jezero Crater, NASA’s Mars 2020 Perseverance mission officially marked the completion of its interplanetary travel phase and began its mission to collect evidence of ancient, microbial Martian life.
Getting to Mars
On July 30, 2020, NASA’s Mars 2020 Perseverance mission launched aboard a United Launch Alliance Atlas V 541 rocket from Space Launch Complex 41 at Cape Canaveral Space Force Base. Aboard that rocket was NASA’s most ambitious Mars mission to date. The launch phase of the mission suffered a few minor delays ultimately shifting the launch date from July 18, 2020 to July 30, 2020. However, ULA’s Atlas V first stage rocket and Centaur upper stage delivered NASA’s Mars 2020 Perseverance mission into such an accurate trajectory that the 2,260 lb (1,025 kg) rover landed on its specified February 18 landing date despite the delays in the launch timeline.
In total, three missions to Mars – China’s Tianwen-1, the United Arab Emirates Hope Probe, and NASA’s Perseverance – left Earth in the summer of 2020. All three missions targeted to leave Earth prior to August to best take advantage of the minimal distance between the planets during what is called opposition. The opposition between Earth and Mars only occurs once every 22 months. If the Perseverance mission had missed its launch date it would’ve had to wait until 2022 for a chance to travel to the Red Planet.
Entry, Descent, and Landing – a controlled disassembly
As Perseverance descended into the Martian atmosphere the Cruise Phase – hardware that propelled the spacecraft through space for seven months – was jettisoned. The Perseverance rover safely tucked inside the aeroshell and protected by a robust heat shield soared through the thin Martian atmosphere enduring an extreme amount of friction that produced heat energy that reached up to 2,370 degrees Fahrenheit (about 1,300 degrees Celsius).
Once through the period of peak heating the heat shield was jettisoned exposing Perseverance to the Martian environment for the first time. Then about 7 miles (11 kilometers) from the surface the largest supersonic parachute NASA has ever sent to another planet – 70.5 feet (21.5 meters) in diameter – was deployed drastically slowing the spacecraft.
While still descending, the controlled descent module – called the sky crane – separated from the backshell about 1.3 miles (2.1 kilometers) above the surface to free-fly in the Martian atmosphere. The descent module used a new landing technology called Terrain-Relative Navigation used a constant stream of visual input and guidance collected from the Vision Compute Element and Rover Compute Element to determine the safest reachable landing site.
The throttleable rockets on the powered descent module steered the rover to its landing spot in Mars’ Jezero Crater and slowed to approximately 1.7 mph (2.7 kph) about 66 feet (20 meters) above the Martian surface. Perseverance was then lowered using a system of Nylon cords which were autonomously severed upon touchdown. The final stage of the controlled disassembly was for the sky crane to throttle its rockets back up and fly away for a crash landing a safe distance from the rover.
Ultimately, the Perseverance rover landed about a kilometer south of the intended delta of the Jezero Crater.
Perseverance made it to Mars, now what?
Getting to Mars was only the first of many milestones that Perseverance is expected to achieve during its projected one Mars year-long mission – about 687 Earth days. Now that the rover has touched down the science will begin.
First and foremost once Perseverance stretched its legs, so to speak, the first event took place just minutes after landing. Perseverance captured photos of the Martian surface with a pair of engineering cameras called Hazard Cameras mounted to the front and back of the rover.
The upgraded Navigation and Hazard cameras feature the capability to capture imagery of the Martian surface in 20 megapixel high-definition resolution for the first time. In the coming days, more images will be relayed back to Earth taken with the rover’s Navigation cameras and Mastcam-Z.
Once on Mars, the control of the Perseverance rover was transitioned from NASA JPL’s EDL team to the Perseverance Surface team. The Surface Phase of the Mars 2020 mission – or the phase of the mission that consists of the four main science objectives – began about twenty minutes after the touchdown.
Perseverance was sent to Mars to determine whether life ever existed on Mars, characterize the climate, characterize the geology, and prepare for the eventual human exploration of Mars. To achieve these massive science goals, the robotic astrobiologist was sent with an impressive suite of scientific research tools. Over the next 30 Martian days – called sols – the rover will begin to unfurl and begin testing the various pieces of hardware in preparation for exploring the delta of Jezero Crater.
Deploying the stowaway
Perseverance not only took a roving science lab to Mars, but it also took the first rotorcraft helicopter to be deployed to another planet dubbed Ingenuity. Ingenuity is a small double-bladed rotorcraft weighing only about 4 pounds (1.8 kilograms).
After the initial 30 Ssls of stretching its legs, Perseverance will travel a short distance to find a flat area of the Martian surface to deploy the Ingenuity helicopter. Once deployed, the Ingenuity team will have a technology demonstration window of approximately 30 sols to complete the first flight test of Ingenuity – the first time powered, controlled flight will be attempted on another planet.
Landing is just the beginning
As exciting as landing on Mars was, it is only the beginning for the Mars 2020 Perseverance rover. The nuclear-powered astrobiology robot will spend the next Martian year excavating the surface of a very rich delta in the Jezero crater searching for the first evidence of ancient, microbial life.
Even more exciting is that Perseverance is only the first phase of a larger mission called the Mars Sample Return mission that will someday bring the excavated samples that Perseverance collects back to Earth in a joint effort between NASA and the European Space Agency.
Although the Perseverance mission is only intended to last one Martian year, Perseverance has the capacity to extend its mission to nearly 15 years thanks to its power source, a Multi-Mission Radioisotope Thermoelectric Generator (MMRTG) which produces a steady stream of electricity provided by the radioactive decay of plutonium-238. Perseverance could potentially outlast all of NASA’s other Mars missions.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
