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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:
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
