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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.
Elon Musk
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
