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Virtual reality haptic “smart suit” uses AI with biometrics to simulate real-world environments
One of the innovative future technologies that was on display at this year’s Consumer Electronics Show (CES 2019) in Las Vegas is the Teslasuit, a full body virtual reality haptic suit that delivers real sensations to users that mimic the environment of a digital simulation or game. In a haptic feedback system, stimuli are used to provoke real sensations involving touch – shocks, punches, pushes, bumps, etc. Teslasuit combines this sort of environmental feedback along with climate control, motion capture, and biometric systems to give a fully responsive, immersive experience to the user. Combined with true-to-life virtual reality graphics, this device could finally provide the experience VR was intended to have since its development began.
The full-body sensations of the Teslasuit seem to indicate a new level of experience for virtual reality users, but the haptic capabilities aren’t the only things making it stand out. The suit’s biometric system is designed to use machine learning to analyze heart rate, stress levels, and overall mental and emotional states to create experiences catered to the user. How this capability will be implemented is really up to game developers, though. As data is gathered from biometrics, capabilities will follow. “This is very important for the gaming industry. We see that in the future, when we come to the end user market, that we will be able to offer a lot of data sensing for the developers to process, for the AI itself to adjust the game to the player,” Dimitri Mikhalchuk, co-founder of Teslasuit, explained in an interview with Digital Trends. The suit was first officially unveiled at CES 2018.
Teslasuit uses 68 channels embedded throughout the suit’s fabric to deliver electrical stimulations, and the company is working to expand on that number. Also included in the suit’s software is a haptic library, enabling game developers to create their own effects to correspond with their virtual worlds. The climate control system adjusts the temperature of the suit, heating and cooling in accordance with the virtual environment. Finally, its motion capture and avatar system track motions from the users entire body to interact with virtual environments (and built with multiple players in mind), something that’s more or less an expansion on the core of VR to begin with.
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- The haptic Teslasuit as imagined in a VR game environment. | Credit: Teslasuit
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- The haptic Teslasuit. | Credit: Teslasuit
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- The haptic Teslasuit. | Credit: Teslasuit
While the Teslasuit brings virtual worlds closer to a potentially action-packed reality, bruises are not part of the experience, according to Mikhalchuk. The electric stimulation is matched to the users own strength, adapting its responses to the input. In other words, the force a user “hits” with in a game is the amount of force used to “hit” back, i.e., electric pulses make the muscles contract within that range.
With the equivalent of a full body shocking device wrapped around players, the question of security arises, yet another thing Teslasuit has addressed in its design. Its software has military grade encryption (AES 256) built into its wireless control system to ensure users’ bodies are not (literally) hacked into. Among its many features, Teslasuit is also completely wireless, boasts a 10+ hour battery life, and is machine washable (important for sweat-inducing virtual scenarios and general funk from frequent wear). A summary of the device on the Teslasuit website reads like something from a science fiction movie:
A highly developed form of computer modeling allows an operator to immerse in the artificial world. The user can act directly in it with the help of special sensory devices that link movements with audio-visual effects. In this case, the user’s visual, auditory, tactile, and motor sensations are replaced by their imitation, generated by a computer system with full body haptic VR suit. At the same time, biometric system of the Teslasuit analyzes human performance and health (workforce and human performance analytics). – Teslasuit.io
The future of augmented reality and virtual reality applications have been explored in fictional storylines over the years with the most recent and directly relevant one being the haptic system imagined in the movie Ready Player One. The Battlestar Galactica prequel series “Caprica” also imagined an immersive virtual world that users could “feel” experiences in (or otherwise do things they wouldn’t/couldn’t in the real world), but that didn’t require a suit, just a mind. In an episode of Netflix’s Black Mirror series called “Playtest”, an American traveler in the UK signs up to demo an immersive VR horror game to earn some money. Unlike the Teslasuit, however, the experience in that episode involved an implant to the user’s neck called a “mushroom” which linked up the VR experience with a user’s brain. The Matrix also suggested an immersive environment, although people weren’t exactly voluntarily involved, if they ever knew it wasn’t real to begin with.
Other than gaming, Teslasuit is suggestive of several solutions for non-entertainment industries. According to an article on their company website, several VR-training solutions were available for demonstration at CES 2019: Astronaut VR-training in an ISS module, an oil-loading ramp operation VR-simulator, emergency evacuation VR-training, and a powerplant VR training simulator. Teslasuit is currently continuing its outreach and collaboration with game companies to develop content. Its software development kit and corresponding system tools and applications are included with the purchase of the suit which began shipping B2B in the third quarter of 2018.
Watch the below video for a first-hand review of Teslasuit:
Elon Musk
Tesla owners surpass 8 billion miles driven on FSD Supervised
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account.
Tesla shared the milestone as adoption of the system accelerates across several markets.
“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.
Elon Musk
The Boring Company’s Music City Loop gains unanimous approval
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.
The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown.
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.
Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.
The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post.
Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.
“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said.
The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.
Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”
Elon Musk
Tesla announces crazy new Full Self-Driving milestone
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.
The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.
On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.
Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.
Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.
This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.
The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.
Tesla owners surpass 8 billion miles driven on FSD Supervised
The Boring Company’s Music City Loop gains unanimous approval
