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SpaceX’s next West Coast Falcon 9 landing could be decided by baby seals

Falcon 9 B1051 lands aboard drone ship OCISLY after its March 3rd launch debut. The same booster will launch RCM on June 11th. (SpaceX)

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SpaceX and the Canadian Space Agency (CSA) have – at long last – officially announced a launch date for the Radarsat Constellation Mission (RCM), a ~$1B trio of Earth observation satellites.

Delayed from November, February, March, and May, RCM is now scheduled to launch on a flight-proven Falcon 9 booster from California’s Vandenberg Air Force Base (VAFB) no earlier than June 11th. The three flight-ready spacecraft were shipped from Canada in September 2018 and have now been awaiting launch in a Southern California storage facility for more than half a year. The blame for such an egregious delay can be largely placed on SpaceX, but CSA and launch customer Maxar Technologies are also partially responsible. On a lighter note, the location of RCM’s subsequent Falcon 9 landing might end up being decided by seal pupping – baby harbor seals, in other words.

Although RCM’s slip from 2018 to 2019 remains unexplained, the mission’s journey from mid-February to mid-June is a different story. Still, next to nothing is publicly known about the process SpaceX launch customers go through after contracts have been signed, particularly with respect to how Falcon boosters are assigned to missions. This is further stymied by the fact that – to date – the ~$1 billion RCM is probably the most valuable payload SpaceX has ever attempted to launch, making it a clear outlier. But, as they say, “damn the epistemological torpedoes!”

Rocket logistics hell

RCM’s logistical hell and ~6 months of delays began on December 5th, 2018 when Falcon 9 Block 5 booster B1050 – having just completed its inaugural launch debut – experienced a hydraulic pump failure. The first of its kind, B1050’s pump failure killed grid fin control authority and forced the booster to abort into the Atlantic Ocean, where it somehow pulled off a landing soft enough to leave the rocket almost entirely intact. Even more surprisingly, B1050 was safely towed back to port, lifted onto dry land, and shipped off to one of SpaceX’s many Florida hangars for inspection.

Despite its near-miraculous survival, B1050 was immediately removed from SpaceX’s fleet of flightworthy boosters. Set to become the least flight-proven flight-proven Block 5 booster yet after supporting a low-energy Cargo Dragon mission, SpaceX and CSA/Maxar had apparently reached an agreement to launch RCM on B1050.2. Despite the availability of other boosters at the time, all available cores had completed two launches (B1046, 47, and 48) or were assigned to a second launch in the near-term (B1049). This is the only rational explanation for the delays that followed.

B1049 completed its second launch in mid-January 2019 and has since floated around various SpaceX facilities while waiting for its third mission. Had CSA/Maxar been okay with a twice-flown Falcon 9, B1049 could have likely supported RCM’s launch as early as March or April. Instead, the customer – as was apparently their right – concluded that being a booster’s third launch would be an unacceptable risk, whereas launching on a once-flown booster was acceptable. The only possible solution to those demands was to manifest RCM on Falcon 9 B1051, assigned to Crew Dragon’s launch debut.

Quite possibly the worst booster one could pick for schedule preservation, Crew Dragon’s launch debut slipped – to the surprise of very few – from January to February and finally to March 3rd. B1051 launched, landed without issue, and returned to Port Canaveral a few days later, where it was transported to Pad 39A for refurbishment. The relatively gently-used booster required a bit less than 8 weeks of inspection and refurbishment before being packaged and shipped to California near the end of April (see above). By now, B1051 is likely safely inside SpaceX’s SLC-4E integration hangar, preparing for upper stage integration and a routine pre-launch static fire test.

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B1051 landed aboard drone ship OCISLY around 8 minutes after launch. (SpaceX)
Falcon 9 B1051 was refurbished inside Pad 39A’s main hangar. (SpaceX – April 2019)
B1051 was shipped west on April 26th. (Facebook – Joshuah Murrah)

In short, an untimely Falcon 9 anomaly and customer preferences conspired to delay the launch of Canada’s Radarsat Constellation Mission by nearly four months, from February 18th to June 11th. With any luck, the mission’s flow will be issue-free and suffer no additional delays.

FCC launch communications licenses currently show that SpaceX plans to return Falcon 9 B1051 to the launch site (RTLS) after launch, rather than landing aboard drone ship Just Read The Instructions (JRTI). With a total launch mass likely around 5000 kg (11,000 lb), Falcon 9 should easily be able to manage a RTLS recovery. However, SpaceX’s West Coast LZ-4 use permit prevents the company from landing rockets at the pad during harbor seal pupping season, typically March thru June. The sonic booms and noise generated during Falcon 9’s spectacular landings might end up stressing endangered harbor seals, potentially causing parents to abandon their seal pups in confusion. As such, JRTI may be forced to get some exercise after spending almost five months in port. Anything for the baby seals!

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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The Boring Company just doubled its tunneling power in Nashville

The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.

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The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”

MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.

Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.

It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.

Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.

With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

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.

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.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

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.

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.

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