Tesla’s Optimus robot has come a long way since it was first announced in 2021, and in a recent update, the company has noted that the robot is now able to sort objects on its own.
On Saturday, Tesla’s Optimus account on X shared that the robot can now sort objects autonomously, using its end-to-end trained neural network. The account also shared a video showing Optimus as it goes through the processes of self-calibration and physically sorting colored blocks into their respective trays.
The video shows Optimus calibrating itself using joint position encoders in tandem with its vision, which Tesla says allows it to locate its limbs precisely. After calibration, the robot is seen sorting blue and green blocks into trays of the same color, which Optimus can do autonomously.
When a Tesla worker comes in and begins moving the blocks before Optimus can get to them, the robot demonstrates the ability to continue sorting them amidst the dynamic changes, depicting that it can adapt and adjust to its environment while continuing to sort the blocks correctly.
Additionally, when Optimus sets a block on its side in one of the trays, it uses corrective action to go back to the block and turn it right-side-up. You can watch the full video on Optimus below, as posted to the X account @Tesla_Optimus.
Optimus can now sort objects autonomously 🤖
Its neural network is trained fully end-to-end: video in, controls out.
Come join to help develop Optimus (& improve its yoga routine 🧘)
→ https://t.co/dBhQqg1qya pic.twitter.com/1Lrh0dru2r
— Tesla Optimus (@Tesla_Optimus) September 23, 2023
Along with the video, Tesla includes a link to its artificial intelligence (AI) and robotics page on its website, encouraging users to come and work with the company to help develop Optimus. On the page, Tesla includes brief descriptions of its Tesla Bot, Full Self-Driving (FSD) chip, Dojo chip, Dojo computer, neural networks, autonomy algorithms, code foundations and evaluation infrastructure.
At the bottom of the page, Tesla includes a contact form for candidates interested in building the future of AI. The form requests a resume and other details about the user’s past software, hardware and AI work.
“Create a general purpose, bi-pedal, autonomous humanoid robot capable of performing unsafe, repetitive or boring tasks,” writes Tesla about the Optimus robot on the page. “Achieving that end goal requires building the software stacks that enable balance, navigation, perception and interaction with the physical world. We’re hiring deep learning, computer vision, motion planning, controls, mechanical and general software engineers to solve some of our hardest engineering challenges.”
The news comes just a few months after Tesla’s Q2 earnings call, in which CEO Elon Musk explained that Optimus production was way down compared to its forecasts, primarily due to a lack of supply for its actuators. As a result, Musk said, the company was forced to design and make its own actuators, which Tesla will eventually be able to make at volume.
It also comes several months after a video in May showed how far Optimus had come since Tesla’s AI Day in 2022, mainly showing off the robot’s improved hand movements.
Tesla shares rare look at Optimus team’s work on humanoid robot actuators
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint
Prosecutors in Frankfurt (Oder) confirmed they have opened a defamation probe into Gigafactory Berlin plant manager André Thierig.
Tesla’s Giga Berlin plant manager is now under investigation after a complaint from trade union IG Metall, escalating tensions ahead of next month’s works council elections.
Prosecutors in Frankfurt (Oder) confirmed they have opened a defamation probe into Gigafactory Berlin plant manager André Thierig, as per a report from rbb24.
A spokesperson for the Frankfurt (Oder) public prosecutor’s office confirmed to the German Press Agency that an investigation for defamation has been initiated following a criminal complaint filed by IG Metall against Thierig.
The dispute stems from Tesla’s allegation that an IG Metall representative secretly recorded a works council meeting using a laptop. In a post on X, Thierig described the incident as “truly beyond words,” stating that police were called and a criminal complaint was filed.
“What has happened today at Giga Berlin is truly beyond words! An external union representative from IG Metall attended a works council meeting. For unknown reasons, he recorded the internal meeting and was caught in action! We obviously called police and filed a criminal complaint!” Thierig wrote in a post on X.
Police later confirmed that officers did seize a computer belonging to an IG Metall member at Giga Berlin. Prosecutors are separately investigating the union representative on suspicion of breach of confidentiality and violation of Germany’s Works Constitution Act.
IG Metall has denied Tesla’s allegations. The union claimed that its member offered to unlock the laptop for review in order to accelerate the investigation and counter what it called false accusations. The union has also sought a labor court injunction to “prohibit Thierig from further disseminating false claims.”
The clash comes as Tesla employees prepare to vote in works council elections scheduled for March 2–4, 2026. Approximately 11,000 Giga Berlin workers are eligible to participate in the elections.
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Tesla wins FCC approval for wireless Cybercab charging system
The decision grants Tesla a waiver that allows the Cybercab’s wireless charging system to be installed on fixed outdoor equipment.
Tesla has received approval from the Federal Communications Commission (FCC) to use Ultra-Wideband (UWB) radio technology in its wireless EV charging system.
The decision grants Tesla a waiver that allows the Cybercab’s wireless charging system to be installed on fixed outdoor equipment. This effectively clears a regulatory hurdle for the company’s planned wireless charging pad for the autonomous two-seater.
Tesla’s wireless charging system is described as follows in the document: “The Tesla positioning system is an impulse UWB radio system that enables peer-to-peer communications between a UWB transceiver installed on an electric vehicle (EV) and a second UWB transceiver installed on a ground-level pad, which could be located outdoors, to achieve optimal positioning for the EV to charge wirelessly.”
The company explained that Bluetooth is first used to locate the charging pad. “Prior to the UWB operation, the vehicular system uses Bluetooth technology for the vehicle to discover the location of the ground pad and engage in data exchange activities (which is not subject to the waiver).”
Once the vehicle approaches the pad, the UWB system briefly activates. “When the vehicle approaches the ground pad, the UWB transceivers will operate to track the position of the vehicle to determine when the optimal position has been achieved over the pad before enabling wireless power charging.”
Tesla also emphasized that “the UWB signals occur only briefly when the vehicle approaches the ground pad; and mostly at ground level between the vehicle and the pad,” and that the signals are “significantly attenuated by the body of the vehicle positioned over the pad.”
As noted by Tesla watcher Sawyer Merritt, the FCC ultimately granted Tesla’s proposal since the Cybercab’s wireless charging system’s signal is very low power, it only turns on briefly while parking, it works only at very short range, and it won’t interfere with other systems.
While the approval clears the way for Tesla’s wireless charging plans, the Cybercab does not appear to depend solely on the new system.
Cybercab prototypes have frequently been spotted charging at standard Tesla Superchargers across the United States. This suggests the vehicle can easily operate within Tesla’s existing charging network even as the wireless system is developed and deployed. With this in mind, it would not be surprising if the first batches of the Cybercab that are deployed and delivered to consumers end up being charged by regular Superchargers.
Elon Musk
Tesla posts updated FSD safety stats as owners surpass 8 billion miles
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla has posted updated safety stats for Full Self-Driving Supervised. The results were shared by the electric vehicle maker as FSD Supervised users passed more than 8 billion cumulative miles.
Tesla shared the milestone in a post on its official X account.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint
Tesla wins FCC approval for wireless Cybercab charging system
