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SpaceX’s first West Coast Falcon 9 launch in eight months now set for early 2020

Falcon 9 B1048 produced a truly spectacular nebula-like cloud of sunlit exhaust during the October 2018 launch of SAOCOM-1A. SAOCOM-1B is now tracking towards a February 2020 launch. (Tom Cross)

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After what is set to be a more than 8-month lull, SpaceX’s California launch facilities are scheduled to support a Falcon 9 launch no earlier than February 2020.

Speaking at 2019’s World Satellite Business Week, Raúl Kulichevsky – a director at the Comisión Nacional de Actividades Espaciales (CONAE), Argentina’s national space agency – confirmed that the country’s SAOCOM-1B Earth observation satellite making great progress towards that launch target.

The launch was recently pushed into January and later March of 2020 after minor satellite production delays ended plans for a late-2019 launch. On a recent positive note, Deputy Executive and Technical Director of CONAE Raúl Kulichevsky indicated that SAOCOM-1B’s Falcon 9 launch was now planned a month or so earlier than previously expected and is on track for a February 2020 liftoff from Vandenberg Air Force Base (VAFB).

This small but positive schedule bump comes just a week or so after CONAE engineers and technicians wrapped up a major SAOCOM-1B integration milestone, successfully attaching the satellite’s main imaging instrument – a large phased-array radar – to its bus (the primary structure). This work is ongoing in Bariloche, Argentina, a spectacular town surrounded by the Andes mountain range and glacier-fed lakes. Aside from the electrical and mechanical integration of SAOCOM-1B’s radar and bus, the CONAE team completed the installation of thermal insulator blankets. Up next will be the attachment of two solar arrays and associated deployment tests, followed by integrated center-of-gravity measurements and vibrational/acoustic load tests.

This May 2019 photo shows off the spectacular interior of SAOCOM-1B’s main bus, an extremely rare view of the swath of internal systems that allow satellites to function in orbit.

Assuming a successful launch early next year, SAOCOM-1B will join its SAOCOM-1A sister satellite in a sun-synchronous orbit (SSO), completing the L-band Satélite Argentino de Observación Con Microondas Synthetic Aperture Radar (SAR) constellation. In an agreement called Sistema Italo Argentino de Satélites para la Gestión de Emergencias (SIASGE), the completed SAOCOM constellation will work in conjunction with Italy’s four-satellite COSMO-SkyMed constellation to provide accurate and persistent Earth observations and support disaster monitoring efforts around the world.

CONAE hopes to eventually expand its SAOCOM constellation with the future development and deployment of two SAOCOM-2 spacecraft.

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An overview of the joint Italy-Argentina SIASGE constellation, featuring two SAOCOM-1 and four COSMO-SkyMed satellites. (CONAE)

The SAOCOM-1A satellite was launched in a spectacular fashion in October 2018, producing a nebula-like cloud of sun-lit Falcon 9 exhaust that was visible for hundreds of miles. The SAOCOM-1A marked the second launch of Falcon 9 booster B1048 and also featured SpaceX’s first successful West Coast Return-to-Launch-Site (RTLS) landing.

Falcon 9’s SAOCOM-1B mission will come long after SpaceX’s most recent West Coast launch – the June 2019 launch of the Canadian Space Agency’s (CSA) RADARSAT Constellation Mission (RCM). West coast observers and launch teams are sure to welcome the launch of the SAOCOM-1B mission after what is set to be more than eight months spent without a launch.

Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.

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Tesla Model 3 gets perfect 5-star Euro NCAP safety rating

Tesla prides itself on producing some of the safest vehicles on the road today.

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Credit: Tesla Singapore/X

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.

Standout Safety Features

As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.

The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.

Standout Safety Features

In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.

“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place. 

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“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.

Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.

Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd

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USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards

The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

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Credit: Elon Musk/X

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.

Duffy’s Giga Texas Visit

As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X. 

He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”

National Standard

While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”

Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.

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Tesla posts Optimus’ most impressive video demonstration yet

The humanoid robot was able to complete all the tasks through a single neural network.

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Credit: Tesla Optimus/X

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.

Optimus’ Newest Demonstration

In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.

What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.

Tesla VP for Optimus Shares Insight

In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.

“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).

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“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.

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