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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:
News
Tesla FSD (Supervised) is about to go on “widespread” release
In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”
Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin.
The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.
FSD V14.2 improvements
FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.
A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.
Elon Musk’s predicted wide release
The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”
FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles.
News
Tesla FSD V14.2 starts rolling out to initial batch of vehicles
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.
So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well.
Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots.
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.
Release Notes
2025.38.9.5
Currently Installed
FSD (Supervised) v14.2
Full Self-Driving (Supervised) v14.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
- Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
Upcoming Improvements:
- Overall smoothness and sentience
- Parking spot selection and parking quality
The Tesla Model X has always been one of the company’s most loved vehicles, despite its low sales figures, which can be attributed to its high price tag.
However, the Model X has been a signature item on Tesla’s menu of cars, most notably recognized by its Falcon Wing Doors, which are aware of its surroundings and open according to what’s around it.
But recent improvements to the Model X were looking slim to none, but it appears most of the fixes actually happened under the body, at least according to Tesla’s Vice President of Powertrain, Lars Moravy.
In a recent interview with Car and Driver, Moravy detailed all of the changes to the 2026 iteration of the vehicle, which was about 400 pounds lighter than it was originally. The biggest change is a modification with the rear motor, switching from an induction-type motor to a permanent-magnet design and optimizing the half-shafts, which shed about 100 pounds.
Tesla also got “almost 80 pounds out of the interior bits and pieces,” which “included making parts thinner, different manufacturing process choices, and incorporating airbag-deployment requirements into the headliner fabric,” the report said.
Additionally, the standard five-passenger, bench seat configuration saved 50 pounds by ditching pedestal mounting. This also helped with practicality, as it helped the seat fold flat. Engineers at Tesla also saved 44 pounds from the high-voltage wiring through optimizing the wiring from the charge-port DC/DC converter and switching from copper to aluminum wiring.
Tesla makes a decision on the future of its flagship Model S and Model X
Tesla also simplified the cooling system by reducing the number of radiators. It also incorporated Nürburgring cooling requirements for the Plaid variant, which saved nearly 30 pounds.
Many Tesla fans will be familiar with the megacastings, manufactured in-house by presses from IDRA, which also saves more than 20 pounds and boosts torsional stiffness by around 10 percent. Tweaks to the suspension also saved 10 pounds.
People were truly disappointed with what Tesla did with the Model S and Model X, arguing that the cars needed a more severe exterior overhaul, which might be true. However, Tesla really did a lot to reduce the weight of the vehicle, which helps increase range and efficiency. According to Grok, every 200 pounds removed adds between 7 and 15 percent to range estimations.
This makes sense considering the range estimations both increased by 7 percent from the Model X’s 2025 configuration to the 2026 builds. Range increased on the All-Wheel-Drive trim from 329 miles to 352 miles, while the Plaid went from 314 miles to 335 miles.
Tesla FSD (Supervised) is about to go on “widespread” release
Tesla FSD V14.2 starts rolling out to initial batch of vehicles
