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NASA set for upcoming Mars mission to seek signs of ancient life on the red planet
Just three weeks ahead of liftoff, NASA and launch provider United Launch Alliance (ULA) announced that NASA’s Mars 2020 rover, Perseverance, and its Martian helicopter sidekick, Ingenuity, were mated with the Atlas V 541 rocket that will kick off the seven-month journey to the Red Planet. The precious cargo encapsulated inside of a protective payload fairing was carefully hoisted by crane operators to rest atop the Atlas V rocket. The payload joins the Atlas V common core booster, four solid rocket boosters, and the Centaur upper stage to achieve the stack’s final flight configuration height of 197 feet (60 meters).
The United Launch Alliance (ULA) payload fairing with NASA’s Mars 2020 Perseverance rover secured inside is positioned on top of the ULA Atlas V rocket inside the Vertical Integration Facility (VIF) at Space Launch Complex 41 at Cape Canaveral Air Force Station in Florida on July 7, 2020. (Image Credit: NASA/Kim Shiflett)
The final stacking procedure was completed inside of the Vertical Integration Facility (VIF) at Cape Canaveral Air Force Station’s Space Launch Complex 41 (SLC-41). The rocket and payload will remain inside the protective structure and complete final check out tests until it is time quite literally roll to the launchpad. Crane operators first set down the payload for a soft touch to begin final full physical and electrical connection. The spacecraft and rocket will undergo integrated electrical testing as well as a battery of other tests as separate spacecraft and simultaneously as one complete unit.
On Friday (July 10), ULA president and chief executive officer, Tory Bruno, stated on Twitter that the Integrated Systems Test (IST) had been completed successfully. According to a previous mission statement posted to the ULA blog site, the IST is a typical pre-launch run down of the various connected systems between the spacecraft and launch vehicle to “verify proper functionality of launch vehicle systems, (and) conduct a simulated countdown and run through the launch sequence.”
The launch vehicle and integrated payload will remain inside the VIF undergoing mission-specific activities and final system checkouts over the next two weeks. Once all pre-flight activities have been successfully completed, approximately two days ahead of the scheduled launch attempt, the entire stack located on top of the Mobile Launch Platform will make the 1,800ft (550 meters) trip to the SLC-41 launchpad which will take about forty-minutes on a modified railway.
Known as an astrobiology mission and outfitted with seven instruments, the Perseverance rover will conduct new science, sample collection, and test new technology in search of ancient microbial life on the distant planet. The rover will spend the length of one Martian year – two Earth years – exploring the region around its landing site. It will collect and cache samples of the Martian surface to possibly be collected and returned to Earth by future joint missions currently under consideration by NASA and the European Space Agency.
The first interplanetary helicopter, Ingenuity, is a small 4-pound (1.8 kilograms) autonomous solar-powered aircraft that will conduct a series of experimental test flights. Ingenuity is traveling to Mars solely for a demonstrative mission and is not connected to the Perseverance rover by any means other than hitching a ride to the Red Planet. The new technology will demonstrate an ability to create lift in the thin atmosphere and lower gravity environment of Mars to help inform future aerial exploration and science delivery missions.
Currently, NASA and ULA are targeting the launch of the interplanetary mission on July 30th at 7:50 am EDT/4:50 PDT. Should they be necessary, multiple backup launch opportunities are available until the close of the interplanetary launch window on August 15th. Regardless of the launch date, after a seven-month-long, 290 million mile (467 million kilometers) journey – the rover and helicopter will arrive at Mars’s Jezero Crater, the home to an ancient Martian river delta, for a landing attempt on February 18, 2021. The landing date is perhaps even more crucial than the launch date as mission planners must take into account landing site lighting and temperature conditions and the locations of Mars-orbiting satellites required to relay crucial mission-specific information back to Earth.
Should the launch have to abort, and the 2020 window is missed completely, the robots will have to wait until 2022 when Earth’s orbit lines up just right with that of Mars, and the next interplanetary launch window opens up.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
