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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 (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.
Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.
This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.
What We Expect
In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.
Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:
Retail:
“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”
“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”
“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”
“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”
“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”
Institutional
“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”
“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”
“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”
Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
Tesla has extended its Bay Area ride-hailing service to include pickups and drop-offs at San Francisco International Airport (SFO). The update, shared via the company’s official channels on July 21, allows users in the region to request rides directly to and from one of California’s busiest airports.
The expansion builds on Tesla’s secured limousine permit for SFO operations. Public records show the permit became effective March 20, 2026, and remains active through January 31, 2027. Tesla vehicles operating the service now display authorized limousine permits issued by the City and County of San Francisco.
Our Bay Area rideshare service now goes to SFO ✈️
— Tesla AI (@Tesla_AI) July 21, 2026
Tesla’s ride-hailing program in California relies on Model Y vehicles equipped with Full Self-Driving (Supervised) technology. Human safety drivers remain present in compliance with state regulations, distinguishing the service from fully driverless operations.
The Bay Area geofence covers a broad area spanning north of San Francisco to south of San Jose, offering extensive connectivity across the region.
UPDATE: Elon Musk reveals why Tesla didn’t say ‘Robotaxi’ upon California launch
This SFO addition follows earlier progress at other Bay Area airports. Tesla previously expanded service to San Jose Mineta International Airport (SJC) in late 2025. The company had engaged with SFO, SJC, and Oakland International Airport officials as early as September 2025 to secure necessary approvals for passenger transport.
The service provides a new option for travelers seeking electric, app-based transportation integrated with Tesla’s ecosystem. Rides are booked through Tesla’s dedicated ride-hailing application, which handles matching, routing, and payments. Pricing follows standard ride-hailing models, with potential adjustments based on distance, time, and demand.
Tesla’s California ride-hailing program launched in July 2025 with an initial invite-only rollout in the Bay Area. It started alongside operations in Austin, Texas, marking the company’s second major U.S. market.
The Bay Area remains a primary focus in California, with service centered on high-demand corridors connecting residential, commercial, and now major transportation hubs. This latest airport integration represents a practical step in Tesla’s broader mobility ambitions within the state.
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