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

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.
- The soft valve developed for soft robots. | Credit: Harvard University
- The soft valve developed for soft robots. | Credit: Harvard University
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:
Elon Musk
Tesla director pay lawsuit sees lawyer fees slashed by $100 million
The ruling leaves the case’s underlying settlement intact while significantly reducing what the plaintiffs’ attorneys will receive.
The Delaware Supreme Court has cut more than $100 million from a legal fee award tied to a shareholder lawsuit challenging compensation paid to Tesla directors between 2017 and 2020.
The ruling leaves the case’s underlying settlement intact while significantly reducing what the plaintiffs’ attorneys will receive.
Delaware Supreme Court trims legal fees
As noted in a Bloomberg Law report, the case targeted pay granted to Tesla directors, including CEO Elon Musk, Oracle founder Larry Ellison, Kimbal Musk, and Rupert Murdoch. The Delaware Chancery Court had awarded $176 million to the plaintiffs. Tesla’s board must also return stock options and forego years worth of pay.
As per Chief Justice Collins J. Seitz Jr. in an opinion for the Delaware Supreme Court’s full five-member panel, however, the decision of the Delaware Chancery Court to award $176 million to a pension fund’s law firm “erred by including in its financial benefit analysis the intrinsic value” of options being returned by Tesla’s board.
The justices then reduced the fee award from $176 million to $70.9 million. “As we measure it, $71 million reflects a reasonable fee for counsel’s efforts and does not result in a windfall,” Chief Justice Seitz wrote.
Other settlement terms still intact
The Supreme Court upheld the settlement itself, which requires Tesla’s board to return stock and options valued at up to $735 million and to forgo three years of additional compensation worth about $184 million.
Tesla argued during oral arguments that a fee award closer to $70 million would be appropriate. Interestingly enough, back in October, Justice Karen L. Valihura noted that the $176 award was $60 million more than the Delaware judiciary’s budget from the previous year. This was quite interesting as the case was “settled midstream.”
The lawsuit was brought by a pension fund on behalf of Tesla shareholders and focused exclusively on director pay during the 2017–2020 period. The case is separate from other high-profile compensation disputes involving Elon Musk.
Elon Musk
SpaceX-xAI merger discussions in advanced stage: report
The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.
SpaceX is reportedly in advanced discussions to merge with artificial intelligence startup xAI. The talks could reportedly result in an agreement as soon as this week, though discussions remain ongoing.
The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.
SpaceX and xAI advanced merger talks
SpaceX and xAI have reportedly informed some investors about plans to potentially combine the two privately held companies, Bloomberg’s sources claimed. Representatives for both companies did not immediately respond to requests for comment.
A merger would unite two of the world’s largest private firms. xAI raised capital at a valuation of about $200 billion in September, while SpaceX was preparing a share sale late last year that valued the rocket company at roughly $800 billion.
If completed, the merger would bring together SpaceX’s launch and satellite infrastructure with xAI’s computing and model development. This could pave the way for Musk’s vision of deploying data centers in orbit to support large-scale AI workloads.
Musk’s broader consolidation efforts
Elon Musk has increasingly linked his companies around autonomy, AI, and space-based infrastructure. SpaceX is seeking regulatory approval to launch up to one million satellites as part of its long-term plans, as per a recent filing. Such a scale could support space-based computing concepts.
SpaceX has also discussed the feasibility of a potential tie-up with electric vehicle maker Tesla, Bloomberg previously reported. SpaceX has reportedly been preparing for a possible initial public offering (IPO) as well, which could value the company at up to $1.5 trillion. No timeline for SpaceX’s reported IPO plans have been announced yet, however.
News
Tesla already has a complete Robotaxi model, and it doesn’t depend on passenger count
That scenario was discussed during the company’s Q4 and FY 2025 earnings call, when executives explained why the majority of Robotaxi rides will only involve one or two people.
Tesla already has the pieces in place for a full Robotaxi service that works regardless of passenger count, even if the backbone of the program is a small autonomous two-seater.
That scenario was discussed during the company’s Q4 and FY 2025 earnings call, when executives explained why the majority of Robotaxi rides will only involve one or two people.
Two-seat Cybercabs make perfect sense
During the Q&A portion of the call, Tesla Vice President of Vehicle Engineering Lars Moravy pointed out that more than 90% of vehicle miles traveled today involve two or fewer passengers. This, the executive noted, directly informed the design of the Cybercab.
“Autonomy and Cybercab are going to change the global market size and mix quite significantly. I think that’s quite obvious. General transportation is going to be better served by autonomy as it will be safer and cheaper. Over 90% of vehicle miles traveled are with two or fewer passengers now. This is why we designed Cybercab that way,” Moravy said.
Elon Musk expanded on the point, emphasizing that there is no fallback for Tesla’s bet on the Cybercab’s autonomous design. He reiterated that the autonomous two seater’s production is expected to start in April and noted that, over time, Tesla expects to produce far more Cybercabs than all of its other vehicles combined.
“Just to add to what Lars said there. The point that Lars made, which is that 90% of miles driven are with one or two passengers or one or two occupants, essentially, is a very important one… So this is clearly, there’s no fallback mechanism here. It’s like this car either drives itself or it does not drive… We would expect over time to make far more CyberCabs than all of our other vehicles combined. Given that 90% of distance driven or distance being distance traveled exactly, no longer driving, is one or two people,” Musk said.
Tesla’s robotaxi lineup is already here
The more interesting takeaway from the Q4 and FY 2025 earnings call is the fact that Tesla does not need the Cybercab to serve every possible passenger scenario, simply because the company already has a functional Robotaxi model that scales by vehicle type.
The Cybercab will handle the bulk of the Robotaxi network’s trips, but for groups that need three or four seats, the Model Y fills that role. For higher-end or larger-family use cases, the extended-wheelbase Model Y L could cover five or six occupants, provided that Elon Musk greenlights the vehicle for North America. And for even larger groups or commercial transport, Tesla has already unveiled the Robovan, which could seat over ten people.
Rather than forcing one vehicle to satisfy every use case, Tesla’s approach mirrors how transportation works today. Different vehicles will be used for different needs, while unifying everything under a single autonomous software and fleet platform.

