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NASA Mars rover promises blazing entrance after China, UAE make it to Mars orbit
The month of the robotic invasion of Mars is upon us. Seven months ago, the United States, China, and the United Arab Emirates launched missions on a 300 million mile (480 million kilometer) journey to Mars.
Last week, two of the three missions quietly arrived and inserted themselves into Mars orbit. The final spacecraft to arrive, NASA’s Mars 2020 Perseverance mission, however, will not go gently into the Martian atmosphere. On Thursday, February 18, NASA’s latest Mars mission destined to uncover evidence of ancient microbial life on the distant planet is set to touchdown following a spectacular display of extremely complex engineering.
Getting to Mars
Launching to the Red Planet is a strategic maneuver that can only be completed once every two years. This is due to the varying speeds and the elliptical shape of the planets’ orbits around the sun. The point at which Earth and Mars are aligned close enough to minimize travel time, called an opposition, occurs only once every two years.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
The most recent opposition occurred in July 2020. Four international Mars missions were intended to leave Earth that summer, however, due to required further certification of parachutes the European Space Agency’s ExoMars Rosalind Franklin rover would have to wait for its launch opportunity during the next planetary opposition to occur in 2022. That left three robotic invaders from the United States, the United Arab Emirates, and China to escape Earth’s orbit and become interplanetary superstars.
Hope arrives to Mars
The United Arab Emirates Space Agency’s first-ever interplanetary mission, a spacecraft named Al-Amal, or the Hope Probe, was developed in collaboration between the Mohammed bin Rashid Space Center, Laboratory for Atmospheric and Space Physics at the University of Colorado Boulder, Arizona State University, and the Space Sciences Lab at the University of California, Berkeley. It was launched on July 19, 2020, from Tanegashima Space Centre in Japan aboard an H2A202 rocket. On Tuesday, February 9, the Hope Probe was the first of the three missions to complete the journey to Mars and successfully insert itself into orbit.
The Hope Probe arrived to near-Mars orbit traveling approximately 75,000 mph (121,000 kph), far too fast to successfully achieve a safe Martian orbital insertion maneuver. In order to slow down to the approximate 11,000mph (18,000 kph) needed to be captured by Mars orbit, the spacecraft had to autonomously fire its main thrusters and perform a Mars Orbit Insertion burn lasting an agonizing 27 minutes. To compensate in the instance of a thruster failure, there was a backup safety protocol that would’ve doubled the length of the burn. After 27 grueling minutes, the Mohammad Bin Rashid Space Center located in Dubai reported that the maneuver was completed successfully and the Hope Probe had arrived at its final destination.
Unlike the American and Chinese missions to Mars which will land rovers on the surface, the United Arab Emirates’ Hope Probe will remain in Mars orbit for the duration of its mission – approximately two Martian years. The spacecraft is equipped with a suite of three instruments, two spectrometers – one infrared and one ultraviolet – to study the Martian atmosphere, and one imager to capture high-resolution images to study the surface from afar.
China’s Tianwen-1 Rover will hang out in orbit before landing in May
The same type of Mars Orbit Insertion maneuver was completed by China’s first interplanetary mission, the Tianwen-1 spacecraft. Launched from China on July 23, 2020, Tianwen-1 arrived at Mars orbit just one day after the Hope Probe on Wednesday, February 10.
The Tianwen-1 spacecraft had to autonomously complete an excruciating 11-minute “braking” burn to slow down which took it behind the planet as it was captured by Mars gravity and entered into orbit.
Like NASA’s Perseverance, the Tianwen-1 mission features a rover that will eventually land on the surface of Mars. The process to get the rover to the surface, however, varies from that of NASA’s Mars 2020 Perseverance mission.
The Tianwen-1 spacecraft is made of two components, an orbiter and a rover. Currently, it is planned that the orbiter will spend some time in Mars orbit for a period of comprehensive observation before attempting a landing of the rover in May. Ideally, the spacecraft will then touch down in a region known as Utopia Planitia.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Once the rover safely makes it to the surface it will initiate the investigation period of the mission. The rover carries a suite of scientific instruments that will be used to investigate the composition of the Martian surface searching for the potential distribution of water and ice. Similar to China’s Yutu 2 rover which is exploring the Moon, the Tianwen-1 rover also carries a panoramic camera to image the planet.
Perseverance and Ingenuity like no other
The last of the three Mars missions – NASA’s Mars 2020 Perseverance mission launched on July 30, 2020, from Cape Canaveral Space Force Station aboard a United Launch Alliance Atlas 5 rocket. As far as Mars arrivals go, the best has certainly been saved for last. Following the success of the other two missions from China and the United Arab Emirates, the stage is set for Perseverance to make its dramatic entrance.
NASA’s Mars 2020 Perseverance mission is by far the most ambitious mission to launch to Mars during the 2020 planetary transfer window. NASA is not attempting to land one, but two spacecraft on the surface of Mars. The $2.4 billion Mars 2020 mission is comprised of the Perseverance rover – powered by the heat produced by radioactive decay of Plutonium – and a first of its kind rotary helicopter called Ingenuity. It is scheduled to arrive in dramatic fashion on Thursday, February 18.
Rather than conducting a braking maneuver to slow down and enter Mars orbit, the Perseverance spacecraft will autonomously conduct the entry, descent, and landing (EDL) procedure – essentially going from traveling several thousand miles an hour to descending slowly under a parachute canopy to softly land in mere minutes.
The spacecraft – housed in a protective aeroshell with its robust heat shield facing the planet’s surface – will burst into Mars’ atmosphere traveling nearly 12,500 mph (20,000 kph). Once through, Pesevereance will ditch its heat shield and autonomously begin scanning the Martain terrain to determine its relative location and make adjustments to find an optimal landing spot. Then, a powered descent module will deploy transporting the rover the rest of the way down slowing to less than 2mph (3kph). Finally, the descent module will hover and deploy a complex harness system lowering Perseverance – and its stowaway, the Ingenuity helicopter – to the Martian surface for touchdown.
After seven months of interplanetary travel, it all comes down to the final seven minutes – the length of time the EDL process is expected to take. All spacecraft controllers back on Earth can do is watch and wait for that final telemetry reading indicating that Perseverance has successfully touched down. That is why this process has earned the nickname “seven minutes of terror.”
Beginning around 11:15 am PST (19:15 UTC) on Thursday, February 18th, NASA will provide live coverage of Perseverance’s landing attempt. The agency will carry the coverage on NASA TV and its website, as well as a number of other platforms including YouTube, Twitter, Facebook, LinkedIn, Twitch, Daily Motion, Theta.TV, and NASA App.
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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
