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 faces Full Self-Driving pushback in EU over ‘speeding’
A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.
The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.
TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.
Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.
Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.
TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.
This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.
This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.
However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.
Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.
Elon Musk
Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’
Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.
The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.
A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”
Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.
This functionality will be there in about 3 months or so
— Elon Musk (@elonmusk) June 18, 2026
Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.
This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.
The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.
Musk teased that a similar feature was “coming” back in February:
Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says
It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.
Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.
Here’s an example of that from December:
🚨🏈 I am taking my parents and Fiancee to the @Ravens game next weekend and asked @Grok to help me route my @Tesla through a specific neighborhood to reach the correct Lot we will park in.
This is a great example of the new @grok nav integration with the Tesla Holiday Update: pic.twitter.com/rPp4I7q8Yv
— TESLARATI (@Teslarati) December 13, 2025
Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.
We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.
News
Tesla Cybercab has one important piece that AI4 cars might need for FSD
A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.
This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.
The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.
Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:
Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.
But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:
And this is how the side camera and washer look like on a Cybercab. This is from an Engineering vehicle in Peabody MA. pic.twitter.com/Re8VknpmLM
— Tobias Goebel (Unsupervised) (@tpgoebel) June 17, 2026
This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.
For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.
Without it, even the most advanced neural nets struggle when their “eyes” are compromised.
What Does This Mean for AI4 Cars?
This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:
Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys
As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.
As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.