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Scientists develop “soft valve” to enable human flesh-like robots

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The field of soft robotics has achieved some impressive feats in recent years, meaning we are well on our way to life-like robots that possess the very flesh that distinguishes us from our mechanical brethren. Squishy worms, claws, and octopus arms are a few of the machines in development, but they all still have “hard” parts comprising their inner mechanics. Currently, the valves controlling air pressures to manipulate the bots’ movements are rigid, off-the-shelf components. Now, thanks to a new technology created by scientists at the Professor George Whitesides lab at Woodford L. and Ann A. Flowers University, a squishy valve enabling soft robots is available.

Soft-Legged Wheel-Based Robot with Terrestrial Locomotion Abilities. | Credit: Frontiers in Robotics and AI, CC by SA 4.0

Standard hard pneumatic valves help control the movement of soft robots by pushing air (in most cases) into chambers as directed by the device’s operator or programming. A network of tubes or air bladders are built throughout the robot’s appendages, filling or emptying as needed to effect the desired motion. To provide a soft alternative to the rigid components, there are two concepts the new soft valves were driven by: 1) a fleshy membrane that stretches in two directions, similar to a ‘popper’ vending machine toy; and 2) a soft hose that controls air flow by kinking, similar to how bending a garden hose restricts its water flow.

Soft robots are typically made from silicone. With that in mind, doctoral student Philipp Rothemund and postdoctoral fellow Daniel Preston built their valve into a silicone cylinder, separating it into upper and lower chambers. Each chamber contained soft tubes that would kink depending on whether the membrane was stretched in their direction. As air filled one chamber, the membrane would stretch and kink the air hose in the opposite chamber, shutting off the air flow and thus fulfilling the valve functionality needed for soft robots to work as already designed.

Soft robots are generally designed to imitate functionality found in living organisms. The ability for hands to grip, for example, seems simple, but without specific data to work with, robots cannot easily repeat that same functionality, nor with the same amount of agility. Adding the ‘soft’ factor provides flexibility and adaptability. Fleshy materials can conform to objects better than rigid ones, enhancing grip, and their shapes can be pushed or pulled, capabilities that are useful for maneuvering in small spaces or preventing major damage from, say, being run over by a vehicle.

As the soft robotics field expands in its development, we can look forward to new solutions in medicine, operational safety, and tasks otherwise difficult for humans to do without high cost, time, or damage considerations. For example, tubing styled after octopus tentacles could maneuver throughout the body during a surgery, minimizing its invasiveness. One could also imagine a search and rescue soft bot pushing through crevices in rubble to find victims of natural disasters.

Combined with advancements in sensor technologies, we could also see fleshy robots that look, feel, and have a sense of touch like ours. On the plus side, robot hugs might actually feel genuine, and robotic workers could operate in outside environments that lack the precision their rigid counterparts need to function properly. Unfortunately, the down sides are plentiful, and movie studios worldwide have entertained us with numerous cyborg dystopias already.

Watch the below video to see the soft valve in action:

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk’s Boring Company opens Vegas Loop’s newest station

The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.

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Credit: The Boring Company/X

Elon Musk’s tunneling startup, The Boring Company, has welcomed its newest Vegas Loop station at the Fontainebleau Las Vegas.

The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.

Fontainebleau Loop station

The new Vegas Loop station is located on level V-1 of the Fontainebleau’s south valet area, as noted in a report from the Las Vegas Review-Journal. According to the resort, guests will be able to travel free of charge to the stations serving the Las Vegas Convention Center, as well as to Loop stations in Encore and Westgate.

The Fontainebleau station connects to the Riviera Station, which is located in the northwest parking lot of the convention center’s West Hall. From there, passengers will be able to access the greater Vegas Loop.

Vegas Loop expansion

In December, The Boring Company began offering Vegas Loop rides to and from Harry Reid International Airport. Those trips include a limited above-ground segment, following approval from the Nevada Transportation Authority to allow surface street travel tied to Loop operations.

Under the approval, airport rides are limited to no more than four miles of surface street travel, and each trip must include a tunnel segment. The Vegas Loop currently includes more than 10 miles of tunnels. From this number, about four miles of tunnels are operational.

The Boring Company President Steve Davis previously told the Review-Journal that the University Center Loop segment, which is currently under construction, is expected to open in the first quarter of 2026. That extension would allow Loop vehicles to travel beneath Paradise Road between the convention center and the airport, with a planned station located just north of Tropicana Avenue.

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Tesla leases new 108k-sq ft R&D facility near Fremont Factory

The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.

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Credit: Tesla

Tesla has expanded its footprint near its Fremont Factory by leasing a 108,000-square-foot R&D facility in the East Bay. 

The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.

A new Fremont lease

Tesla will occupy the entire building at 45401 Research Ave. in Fremont, as per real estate services firm Colliers. The transaction stands as the second-largest R&D lease of the fourth quarter, trailing only a roughly 115,000-square-foot transaction by Figure AI in San Jose.

As noted in a Silicon Valley Business Journal report, Tesla’s new Fremont lease was completed with landlord Lincoln Property Co., which owns the facility. Colliers stated that Tesla’s Fremont expansion reflects continued demand from established technology companies that are seeking space for engineering, testing, and specialized manufacturing.

Tesla has not disclosed which of its business units will be occupying the building, though Colliers has described the property as suitable for office and R&D functions. Tesla has not issued a comment about its new Fremont lease as of writing.

AI investments

Silicon Valley remains a key region for automakers as vehicles increasingly rely on software, artificial intelligence, and advanced electronics. Erin Keating, senior director of economics and industry insights at Cox Automotive, has stated that Tesla is among the most aggressive auto companies when it comes to software-driven vehicle development.

Other automakers have also expanded their presence in the area. Rivian operates an autonomy and core technology hub in Palo Alto, while GM maintains an AI center of excellence in Mountain View. Toyota is also relocating its software and autonomy unit to a newly upgraded property in Santa Clara.

Despite these expansions, Colliers has noted that Silicon Valley posted nearly 444,000 square feet of net occupancy losses in Q4 2025, pushing overall vacancy to 11.2%.

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Tesla winter weather test: How long does it take to melt 8 inches of snow?

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Credit: Teslarati

In Pennsylvania, we got between 10 and 12 inches of snow over the weekend as a nasty Winter storm ripped through a large portion of the country, bringing snow to some areas and nasty ice storms to others.

I have had a Model Y Performance for the week courtesy of Tesla, which got the car to me last Monday. Today was my last full day with it before I take it back to my local showroom, and with all the accumulation on it, I decided to run a cool little experiment: How long would it take for Tesla’s Defrost feature to melt 8 inches of snow?

Tesla Model Y Performance set for new market entrance in Q1

Tesla’s Defrost feature is one of the best and most underrated that the car has in its arsenal. While every car out there has a defrost setting, Tesla’s can be activated through the Smartphone App and is one of the better-performing systems in my opinion.

It has come in handy a lot through the Fall and Winter, helping clear up my windshield more efficiently while also clearing up more of the front glass than other cars I’ve owned.

The test was simple: don’t touch any of the ice or snow with my ice scraper, and let the car do all the work, no matter how long it took. Of course, it would be quicker to just clear the ice off manually, but I really wanted to see how long it would take.

Tesla Model Y heat pump takes on Model S resistive heating in defrosting showdown

Observations

I started this test at around 10:30 a.m. It was still pretty cloudy and cold out, and I knew the latter portion of the test would get some help from the Sun as it was expected to come out around noon, maybe a little bit after.

I cranked it up and set my iPhone up on a tripod, and activated the Time Lapse feature in the Camera settings.

The rest of the test was sitting and waiting.

It didn’t take long to see some difference. In fact, by the 20-minute mark, there was some notable melting of snow and ice along the sides of the windshield near the A Pillar.

However, this test was not one that was “efficient” in any manner; it took about three hours and 40 minutes to get the snow to a point where I would feel comfortable driving out in public. In no way would I do this normally; I simply wanted to see how it would do with a massive accumulation of snow.

It did well, but in the future, I’ll stick to clearing it off manually and using the Defrost setting for clearing up some ice before the gym in the morning.

Check out the video of the test below:

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