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SpaceX’s second astronaut launch a step closer after NASA announcement
SpaceX’s second astronaut launch is a a step closer to flight after NASA and JAXA announced the third and fourth astronauts assigned to ride Crew Dragon to the International Space Station (ISS) on its first operational mission.
On the cusp of March 30th and 31st, the Japanese Space Agency (JAXA) made the first Crew Dragon-related announcement of the day, revealing the assignment of astronaut Soichi Noguchi to SpaceX’s Crew-1 launch. Hinging entirely on the success of SpaceX’s imminent Demo-2 astronaut launch debut, a critical demonstration mission scheduled to launch no earlier than mid-to-late May 2020, Crew Dragon’s Crew-1 mission will be the spacecraft’s first operational mission ferrying humans to and from the space station. NASA followed up JAXA’s announced hours later, revealing that astronaut Shannon Walker would be the fourth and final crew member aboard Crew Dragon’s Crew-1 launch.
Including Boeing’s Starliner and SpaceX’s Crew Dragon crewed demonstration missions, known as the Crewed Flight Test and Demonstration Mission 2 (Demo-2 or DM-2), respectively, NASA has purchased six astronaut launches from both providers. In theory, one Starliner and Crew Dragon launch per year – spaced out six or so months apart – should be enough to meet NASA’s space station transportation needs, meaning that the space agency’s 12 contracts should last until 2025 or 2026. Boeing’s Starliner appears to be delayed indefinitely after multiple near-catastrophic failures on its first Orbital Flight Test (OFT) but if SpaceX’s Demo-2 mission goes as planned, Crew Dragon could be set to enter operational duty as early as Q4 2020.
SpaceX’s Crew-1 mission manifest now includes NASA astronauts Mike Hopkins, Victor Glover, and Shannon Walker, as well as JAXA astronaut Soichi Noguchi and will likely carry an additional 100-200 kg (200-400 lb) of cargo to the International Space Station (ISS). While all eyes are reasonably on Crew Dragon’s Demo-2 mission, right now, the spacecraft’s Crew-1 through -5 missions are where SpaceX has the opportunity to gain extensive experience launching humans on an operational, semi-routine basis.
Making up at least half of the backbone of NASA’s new domestic astronaut launch capabilities, Crew Dragon and Falcon 9 will hopefully prove themselves to be as reliable and dependable as they and their predecessors have been over the years. Cargo Dragon, SpaceX’s first orbital-class spacecraft and the first private vehicle to visit the ISS, has successfully resupplied the space station and safely returned to Earth each of the 20 times the spacecraft reached orbit. Unsurprisingly, SpaceX ran into intermittent technical issues over those numerous flights, but all of those anomalies were solved on the fly and never prevented mission success or spacecraft recovery.
Falcon 9’s first in-flight failure destroyed the CRS-7 Cargo Dragon spacecraft in June 2015 and cut the mission short before it could reach orbit, but the failure was entirely unrelated to Dragon. Falcon 9’s second catastrophic failure occurred less than 15 months later, also a fault of a small but explosive rocket design flaw. From January 2017 to March 2020, however, Falcon 9 and Falcon Heavy rockets have completed 58 consecutively successful launches. With that streak of success, by certain measures, Falcon has become the most reliable operational rocket family in the world, tied with ULA’s famously reliable Atlas V and slightly better than Arianespace’s Ariane 5.
In short, while Cargo Dragon can’t hold a candle to the sheer scale of Russia’s Soyuz and Progress spacecraft flight histories, Falcon 9 is one of the two most reliable launch vehicles in operation and Crew Dragon will stand on the back of one of the most reliable spacecraft ever built in recent history. With (perhaps more than a little) luck, Boeing’s Starliner spacecraft – launched atop Atlas V, the other most reliable operational rocket – will hopefully be able to develop its own record of reliability in the next several years, but it will never be able to compete with the Cargo Dragon heritage Crew Dragon directly benefits from.
Boeing’s next Starliner mission is up in the air after the spacecraft’s almost disastrous orbital launch debut. Most likely, NASA will require a second uncrewed flight test, this time including the space station rendezvous, docking, and departure attempt Boeing had to cancel after Starliner’s major software failure. A second OFT would likely be ready for flight no earlier than Q3 or Q4 2020, depending on NASA’s investigation findings and requirements. If NASA remains confident and things go perfectly during the likely OFT2 mission, Starliner’s Crew Flight Test (CFT) could maybe launch by the end of 2020.
Crew Dragon’s Demo-2 astronaut launch debut is aiming for what NASA says is a mid-to-late May launch, although the mission is more likely to fly in the late-May to mid-June time frame. If Demo-2 launches on schedule (H1 2020) and is as flawless as Crew Dragon’s uncrewed Demo-1 launch debut, SpaceX could be ready to launch its second astronaut mission (Crew-1) as early as Q4 2020, possibly around the start of the quarter. With so much contingent on near-term reviews and tests, schedules beyond Demo-2 are unsurprisingly fluid.
Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.
The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.
Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.
The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.
In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.
Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.
In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.
Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.
Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.
This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.
As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
