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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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Tesla Cybercab uses a unique strategy for picking up the right rider

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Credit: ARTSIMAGE | X

Tesla Cybercab is using a unique strategy for picking up the correct rider, which is a crucial part of ride-hailing to ensure people end up in the right place and are charged the correct price.

Cybercab will utilize an RGB strip in its front light bar that will illuminate in a variety of different colors to mark itself.

This identifying mark will also appear in the Robotaxi app, giving riders in the same location a notable distinction in an effort to avoid any confusion regarding who should get in each vehicle.

Other ride-hailing services use similar strategies: Lyft and Uber rides are recognizable through driver identity, vehicle type and color, as well as license plate. Waymo will display the rider’s initials on top of the vehicle, letting them know that the specific vehicle for them has arrived.

Tesla’s strategy is unique and interesting, but there are some flaws. Cybercab’s main purpose is aimed toward being an autonomous ride for all, including those who have disabilities like being blind or even color blind.

Tesla will likely have something in the pipeline for those who cannot see colors or have limited vision. There will definitely be multiple ways to identify which vehicle is the one that “you” specifically ordered.

Cybercab is set to start giving public rides next Thursday, September 3, in Austin, as it announced a dedicated event last week and invited many members of the Tesla community.

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Tesla will launch Cybercab on September 3

Additionally, members of the public will be invited as well. Tesla has been offering employee rides in Cybercab for nearly two months.

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Tesla ends in-house wrap service that always seemed like a short-term program

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Credit: Tesla

Tesla has said goodbye to one customization option for its vehicles: the wrap service it launched several years ago.

After launching an in-house wrap service in August 2020 for the first time in China. In the U.S., it launched in October 2023. Tesla continued to expand the program and adjust it with better pricing and fewer options for the Cybertruck.

By December 2023, it was giving owners of the Model 3, Model Y, and the Cybertruck the opportunity to give their vehicle a fresh look with a vinyl wrap.

Tesla revamps in-house vinyl wrap service with better pricing

It was only available in five locations: Costa Mesa, Oceanside, Santa Clara, West Covina, all in California, and Seattle, Washington.

However, Tesla made some big adjustments to its shop, and the wrap service is officially gone:

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Wraps are very popular across the Tesla lineup, especially since the company offers relatively few colors. Many choose to wrap their Teslas with interesting colors, patterns, or even finishes, turning their cars from glossy to satin or matte.

However, Tesla’s wrap service was so limited geographically that it never really had a chance to get off the ground or compete with local shops. Every area in the United States is now overflowing with detailing shops, mobile detailers, and other automotive specialists, many of whom perform wrap services.

Tesla’s service was confined to the Pacific time zone and only spanned across two states. It was never going to be something Tesla was a major competitor in, nor was it going to disrupt the wrapping industry. Now that the program has ended, it seems pretty ideal to believe it was always going to be a short-term thing.

Along with the wrap service, Tesla removed several other products, but nothing too crazy. The Model 3 Door Pocket and Cupholder Liners, the Model S 19″ Magnetite Wheel and Winter Tire Package, Model X/Y Ski/Snowboard Carrier for Hitch Rack, Tesla’s Electric Summer Party Tee, and the Electric Summer Tee were the other items the company totally eliminated from its online shop.

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Tesla Robotaxi fleet gets a brain upgrade ahead of Cybercab launch event

Tesla’s Robotaxi service now runs longer hours nationwide as its unsupervised fleet quietly grows larger.

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Tesla’s Robotaxi service just got easier to catch, with the company’s official Robotaxi account noting that rides are now available from 6 a.m. to 10 p.m., seven days a week, across its operating footprint. The account also said its unsupervised fleet is “a lot bigger” than before, though without specifics. The bigger change is what Tesla says upgraded intelligence in vehicle distribution and routing is what’s actually cutting wait times, not a new Full Self-Driving version.

While Tesla did not name the team behind the upgrade, the language points to its AI and fleet software group rather than the driving stack itself. Vehicle distribution and routing in Robotaxi has functioned mostly as a dispatch problem with the software deciding which idle car goes to which rider, and how far it has to travel to get there. “Upgraded intelligence” suggests a smarter version of that dispatch logic, likely using demand forecasting to position idle cars near where riders are about to request them rather than reacting once a request comes in. Tesla’s AI division has built similar prediction systems for other parts of the business, including the neural networks that power FSD itself, so applying that same approach to fleet logistics would be a natural extension rather than a new discipline for the team.

Tesla is also about a week away from a separate robotaxi milestone. The company plans to launch Cybercab, its purpose built two seat robotaxi with no steering wheel or pedals, in Austin on September 3. Cybercab has been giving employees rides on public and private roads for weeks, and the September event is expected to fold those vehicles into the existing Robotaxi fleet within days of the launch.


Austin previously ran Robotaxi from 6 a.m. to 2 a.m. as of last September, a schedule set before the service expanded into Dallas, Houston, Miami, Tampa, Orlando and the Bay Area. Wednesday’s post did not specify whether that extended overnight window still applies in Austin specifically or whether 6 a.m. to 10 p.m. is now the standard across every market. Tesla’s post, visible on its official Robotaxi account, framed the change simply as fewer riders waiting around for a car.

Whether the wider hours hold once Cybercab enters the fleet next week is the next thing worth watching. Tesla has tended to expand Robotaxi in increments, first geofence, then hours, then fleet size, and each step so far has arrived without much advance notice.

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