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“Smart skin” can identify weaknesses in bridges and airplanes using laser scanner
Recent research results have demonstrated that two-dimensional, on-demand mapping of the accumulated strain on metal structures will soon be a reality thanks to an engineered “smart skin” that’s only a fraction of the width of a human hair. By utilizing the unique properties of single-walled carbon nanotubes, a two-layer film airbrushed onto surfaces of bridges, pipelines, and airplanes, among others, can be scanned to reveal weaknesses in near real-time. As a bonus, the technology is barely visible even on a transparent surface, making it that much more flexible as an application.
Stress-inducing events, along with regular wear and tear, can deform structures and machines, affecting their safety and operability. Mechanical strain on structural surfaces provides information on the condition of the materials such as damage location and severity. Existing conventional sensors are only able to measure strain in one point along one axis, but with the smart skin technology, strain detection in any direction or location will be possible.
How “Smart Skin” Technology is Used
In 2002, researchers discovered that single-wall carbon nanotubes fluoresce, i.e., glow brightly when stimulated by a light source. Later, the fluorescence was further found to change color when stretched. This optical property was then considered in the context of metal structures that are subject to strain, specifically to apply the property as a diagnostic tool. To obtain the fluorescent data, researchers applied the smart skin to a testing surface, irradiated the area with a small laser scanner, and captured the resulting nanotube color emissions with an infrared spectrometer. Finally, two-dimensional maps of the accumulated strain were generated with the results.
The primary researchers, Professors Satish Nagarajaiah and Bruce Weisman of Rice University in Texas, have published two scientific papers explaining the methods used for achieving this technology and the results of its proof-of-principle application. As described in the papers, aluminum bars with holes or notches in areas of potential stress were tested with the laser technique to demonstrate the full potential of their invention. The points measured were located 1 millimeter apart, but the researchers stated that the points could be located 20 times closer for even more accurate readings. Standard strain sensors have points located several millimeters apart.
What Are Carbon Nanotubes?
Carbon nanotubes (CNTs) are carbon molecules that have been structurally modified into cylinders, or rather, rolled up sheets of carbon atoms. There has been some evidence suggesting that CNTs can be formed via natural processes such as volcanic events. However, to really capitalize on their unique characteristics, production in a laboratory environment is much more efficient.
Several methods can be used for production, but the most widely used method for synthesizing CNTs is chemical vapor deposition (CVD). This process combines a catalyzing metal with a carbon-containing gas which are heated to approximately 1400 degrees Fahrenheit, triggering the carbon molecules to assemble and grow into nanotubes. The resulting formation resembles a forest or lawn grass, each trunk or blade averaging .43 nanometers in diameter. The length is dependent on variables such as the amount of time spent in the high heat environment.
Besides surface analysis, carbon nanotubes have proven invaluable in many research and commercial arenas, their luminescence being only one of many properties that can improve and enable other technologies. Their mechanical tensile strength is 400 times that of steel while only having one sixth the density, making them very lightweight. CNTs also have highly conductive electrical and thermal properties, are extremely resistant to corrosion, and can be filled with other nanomaterials. All of these advantages open up their applications to include solar cells, sensors, drug delivery, electronic devices and shielding, lithium-ion batteries, body armor, and perhaps even a space elevator, assuming significant advances overcome its hurdles.
Next Steps
The nanotube-laced smart skin is ready for scaling up into real-world applications, but its chosen industry may take time to adopt given the general resistance to change in a field with long-standing existing technology. While awaiting embrace in the arena it was primarily designed for, the smart skin has other potential uses in engineering research applications. Bruce Weisman, also the discoverer of CNT fluorescence, anticipates its advantages being used for testing the design of small-scaled structures and engines prior to deployment. Niche applications like these may be the primary entry point into the market for some time to come. In the meantime, the researchers plan to continue developing their strain reader to capture simultaneous readings from large surfaces.
Tesla has expanded its Robotaxi program in Florida to include two new cities: Tampa and Orlando.
This marks the second and third cities to be added to the company’s available locations for autonomous ride-hailing in the Sunshine State, joining Miami, which was the first Florida city to offer Robotaxi rides.
Tesla announced the addition of Orlando and Tampa to the Robotaxi program on Tuesday morning. The cities now join Austin, Dallas, Houston, Miami, and the San Francisco Bay Area as locations where Tesla can operate its Robotaxi platform:
Robotaxi now in Tampa & Orlando! pic.twitter.com/fYtmXgJq3O
— Tesla Robotaxi (@robotaxi) July 21, 2026
These rides are unsupervised, as AI Head Ashok Elluswamy confirmed the suite in Florida is operating without safety drivers or anyone within the cabin to assist with operation.
Orlando Tesla Robotaxi Operation
The geofence in Orlando covers a prominent irregular shaded zone on the map, roughly 4-6 miles across in key dimensions, so it likely measures somewhere between 25 and 45 square miles, which is comparable to other early Tesla launches in other cities.
It encompasses central and southern areas bounded by major highways including SR-417 and SR-528, including parts of the Orlando metro core, tourism-adjacent zones, and residential/commercial districts. This represents an initial targeted rollout in a tourist-heavy region, positioned for quick expansion via Tesla’s software updates.
Tampa Tesla Robotaxi Operation
In Tampa, the shape of the geofence is a shaded polygon covering key neighborhoods, explicitly including West Tampa, Tampa Heights, Hyde Park, and downtown Tampa proper, with boundaries along major roads and the Hillsborough River area.
This focuses on high-demand central zones and will offer tourists and citygoers rides without drivers.
Robotaxi Progress
Tesla has been operating Robotaxi since last June, when it launched in Austin. The geofences in most regions have already expanded several times since their launch last year, but the bigger complaint is vehicle availability. Tesla has been working to add more Robotaxi-enabled vehicles to its fleet.
The company still plans to utilize its Cybercab, a new vehicle that is being produced at Gigafactory Texas, for the Robotaxi suite alongside the Model Y, which has been the vehicle of choice for Tesla with early operations.
News
Tesla’s AI Chief just hinted at something big for FSD v14 lite owners
Tesla’s AI chief suggests the newest FSD v14 Lite build may finally go wide release.
Tesla’s head of AI, Ashok Elluswamy, noted on Sunday that the newest FSD v14 Lite build rolling out to Hardware 3 cars is likely the version that goes to wide release, the strongest signal yet that Tesla is near to closing out an early access phase that Hardware 3 owners have waited more than a year for.
Elluswamy made the comment in response to an extensive review from Tesla owner Zack, known on X as @BLKMDL3, who tested software version 2026.20.6.10 and detailed the changes in a lengthy post. “FSD v14 Lite (for Tesla AI3 hardware vehicles) review.
The update restarts a rollout that had stalled after its initial release. Tesla began pushing FSD v14 Lite to Hardware 3 early access drivers on June 29, bringing driving behavior learned on the newer Hardware 4 computer down to the more limited chip that has powered Tesla vehicles built between 2019 and early 2023. That release, as we covered in detail, gave roughly 4 million HW3 vehicles their first meaningful update since being frozen on version 12.6 in early 2025.
Tesla Full Self-Driving v14 ‘Lite’ Release Notes: new capabilities and features
The latest build adds features that bring Hardware 3 closer in line with what Hardware 4 owners already have. FSD can now start directly from park without a brake pedal confirmation, a change Zack called a small but meaningful quality of life improvement. The interface also picks up the blue “P” park icon, approaching destination alerts, and a dedicated Self-Driving app with streak tracking, all details previously exclusive to the AI4 branch of v14, as outlined in Tesla’s original release notes.
The stakes around Hardware 3 go beyond software polish. Tesla sold the Full Self-Driving package for years on the promise that every vehicle equipped with it had the hardware needed to eventually drive itself without supervision. That promise broke down during Tesla’s Q1 2026 earnings call, when Musk acknowledged HW3 cars could not run unsupervised FSD, prompting Tesla to offer trade-in discounts and hardware retrofits alongside the Lite software track.
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla has continued to frame v14 Lite as the primary path forward for the HW3 fleet, telling owners in April that international markets would follow the U.S. rollout once regulatory approvals came through. For now, HW3 owners in the early access group are the only ones running the new build. A broader rollout would mark the second major software delivery to the legacy fleet since Tesla first released FSD v14 to Hardware 4 vehicles, and the first sign since June that the Lite program is still moving rather than stuck in early access limbo.
In a pointed message on X, Elon Musk warned that firms maintaining significant short positions in SpaceX over time face “very low” survival probability.
The statement comes amid post-IPO volatility for the rocket company, now trading under the ticker $SPCX.
The survival probability of firms who maintain a significant short position in SpaceX over time is very low
— Elon Musk (@elonmusk) July 17, 2026
Five weeks after what was described as the largest IPO in history, the stock had fallen roughly 30% from its peak above $2.6 trillion, briefly surpassing Microsoft and Amazon in market value. Short sellers celebrated gains of about $8.7 billion, but Musk’s reply underscores his long-term conviction.
The warning directly echoes a detailed bullish analysis arguing that Starship’s cost reductions could unlock a multi-trillion-dollar space economy. Projects ranging from solar power beamed from orbit and asteroid mining to orbital data centers and Mars terraforming were projected to create over $100 trillion in new market capitalization.
In this vision, SpaceX acts as the essential infrastructure provider, akin to AWS for cloud computing, capturing monopoly-like revenues from launches, crew transport, and data traffic across a rapidly expanding frontier.
This is far from the first time Musk has targeted short sellers. With Tesla, he has repeatedly framed persistent bears as destined for major losses. In July 2024, Musk declared that once Tesla achieves full autonomy and volume production of Optimus robots, “anyone still holding a short position will be obliterated. Even Gates,” referencing Microsoft co-founder Bill Gates’ reported short bets.
Elon Musk reveals what Tesla stock surge could do to Bill Gates
Earlier, in 2018, he taunted shorts that they had “about three weeks before their short position explodes,” a remark followed by sharp stock gains. Musk has also called short selling “value destroying” and once suggested it “should be illegal,” viewing it as betting against innovation and progress.
Critics often dismiss Musk’s optimism as hype, especially when near-term metrics like quarterly deliveries or stock fluctuations disappoint.
Yet his pattern remains consistent: framing short positions against his companies as fundamentally misjudging exponential technological leaps. For SpaceX shorts, the message is clear: betting against multi-planetary ambitions and the infrastructure monopoly they enable carries existential risk for the firms involved.
As Musk and supporters see it, the space economy’s upside dwarfs Earth-bound valuation models, making today’s dips temporary in a decades-long ascent.
Tesla Robotaxi program expands in Florida to two new cities
Tesla’s AI Chief just hinted at something big for FSD v14 lite owners
