News
Three creepy, yet useful robots for rescue missions and deep space travel
Whether or not you welcome humanity’s coming overlord robots, there’s something entertaining about watching them grow up. We’ve all seen Boston Dynamics release one video after the other displaying their robot dogs trotting around opening doors and their humanoid bots overcoming obstacle courses while being abused by their human creators (p.s. they won’t forget). However, they’re not the only company with some interesting, impressive, and somewhat creepy robotic developments. Here are three we thought should be on your radar:
Robugtix Z6 Spider-Bot
This little spider-like guy made some waves at the end of this month with its coordinated dance moves shown off in an 80s-style aerobics video. Its maker is Hong Kong-based robotics company Robugtix, and apparently they have a strong preference for arachnids in their designs. The Z6 has three other siblings in the family, all spider-like in their design as well, and all movie stars in their own right.

Described as “portable and foldable…for use in professional environments”, the Z6 boasts the ability to climb stairs, fold up into a compact/backpack size, roll over, right itself if upside down, and navigate in confined spaces and irregular terrain. A built-in camera provides video streaming and monitioring from its wireless joystick controller. At its smallest, the Z6 is 10 cm (L) x 23 cm (W) x 13.7 cm (H); default standing mode is 52 cm (L) x 49 (W) cm x 17 cm (H). Given the capabilities, some industrial applicability may be in the works, i.e., search and rescue assistance.
Looking for a price? You might not want to ask just yet, and you’ll have to if you want to know for sure. Its siblings range from around $1000 (T8X) to $40,000 (RoboNOBE Black Widow), so we can only guesstimate what this (-tiny-) compact dancer’s cash money trade value will be.
To see the Z6’s awesome dance moves, watch the video below:
Velox by Pliant Energy Systems
This robot actually evolved from research into renewable energy, specifically capturing wave and tidal energy. CEO Pietro Filardo of Pliant Energy Systems, the maker of Velox and based in New York, used his background in marine biology to design biomorphic devices that could not only capture energy from aquatic sources but also propel them. As seen by the ribbon-like attachments directing the bot’s motion, the final design involved a flexible fin moving in wave motions driven by internal actuators. With a few extra degrees of motion, Velox can also move across solid surfaces include sand, snow, pebbles, paving, and solid ice. To quote its makers, it can “swim like a ray, crawl like a millipede, jet like a squid, and slide like a snake.”

Pliant apparently has big plans for Velox’s eventual prodigy. The company’s website lists stealth characteristics and maneuverability useful for surf zone, amphibious beach, and polar ice missions – an obvious military appeal that’s not surprising considering the partial funding received from the U.S. Office of Naval Research, an organization within the Department of the Navy. Civilian uses are also suggested, if its proof-of-concept videos aren’t imagination-inspiring enough, such as personal propulsion for divers, propeller replacement for environmentally-sensitive waters like coral reefs, and search and rescue operations, specifically in the case of thin ice fall victims.
The company has been developing patented technologies since 2007 and its research has been sponsored by a variety of local and federal agencies including the National Science Foundation and U.S. Department of Agriculture. Pliant’s novel fin system (“undulating”, i.e., smooth and wavy) is also being applied towards its original intention – water energy generation – for which its design is useful where dams are not practical or desirable. Velox itself is still in the proof-of-concept stage, but its capabilities are already on display for admiration.
Watch the below video to see Velox in action:
Robotic Skins by Yale University
Admittedly, these devices aren’t actually robots but rather make things into robots. Designed by Yale University as a NASA initiative, “robotic skins” are sheets of elastic material with robot components embedded inside, i.e., actuators and sensors. When wrapped around compatible objects, they provide movement and sensing functionality as needed to perform tasks.
Deep space traveling was the inspiration for their design – preparing for the unknown. If travelers can’t be sure what robotic functionality will be needed in a somewhat unpredictable environment, it would be useful to have the ability to create what’s needed on-demand. Demonstrations of the skins thus far have included a stuffed horse walking, a cylinder crawling like a worm, a claw for moving things, and a posture sensor that vibrates when a user is slouching. Perhaps implementing multiple skins could create a bot that both flipped pages in a spacecraft instruction manual and slapped the reader when they stopped paying attention. Hey, deep space might also be boring.
Watch the below video for more on how these “robotic skins” work:
News
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
News
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
News
Tesla responds to Robotaxi skeptics with a massive move in Austin
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.