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Boston Dynamics Spot’s Interaction With the Public

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Building the next generation of robots for successful integration into our homes, offices, and factories is more than just solving the hardware and software problems—we also need to understand how they will be perceived and how they can work effectively with people in those spaces.

aspect_ratioRobotics and AI Institute logo with text about post originally appearing there

In summer 2025, RAI Institute set up a free pop-up robot experience in the CambridgeSide mall, designed to let people experience state-of-the-art robotics first hand. While news stories about robots and AI are common, with some being overly critical and some overly optimistic, most people have not encountered robots in the flesh (or metal) as it were. With no direct experience, their opinions are largely shaped by pop culture and social media, both of which are more focused on sensational stories instead of accurate information about how the robots might be used effectively and where the technology still falls short. Our goal with the pop-up was twofold: first, to give people an opportunity to see robots that they would otherwise not have a chance to experience; and second, to better understand how the public feels about interacting with these robots.

Designing a Robot Experience for the General Public

Three experimental robotic prototypes displayed behind barriers in a bright gallery. Some earlier version legged robots, built by the RAI Institute’s Executive Director, Marc RaibertRAI Institute

Red robot dog and electric bike displayed in glass cases inside a modern mall. The ANYmal by ANYrobotics (left) and a previous model of the RAI Institute’s UMV (right)RAI Institute

The pop-up space had two areas: a museum area where people could see historical and modern robots, including some RAI Institute builds like the UMV, and an interactive experience called “Drive-a-Spot.” This area was a driving arena where anyone who came by could take the controls of a Spot quadruped, one of the more recognizable, commercially available robots today.

The guest robot drivers used a custom controller built on an adaptive video game controller that was designed so that anyone of any age could use it. It featured basic controls: move forward, back, left, right, adjust height, sit, stand, and tilt. The buttons were large so that tiny or elderly hands could use the controller, and the people who drove Spot ranged in age from 2 to over 90.

Adaptive gaming controller with large programmable buttons on a black table. The guest robot drivers used a custom controller built on an adaptive video game controller that was designed so that anyone of any age could use it.RAI Institute

The demo area was designed to be a bit challenging for the Spot robot to maneuver in—it contained tight passages, low obstacles to step over, a barrier to crouch under, and taller objects the robot had to avoid. Much to the surprise of many of our guests, Spot is able to autonomously adjust itself to traverse and avoid those obstacles when being supervised by the joystick.

RAI Institute

The driving arena’s theme rotated every few weeks across four scenarios: a factory, a home, a hospital, and an outdoor/disaster environment. These were chosen to contrast settings where robots are broadly accepted (industrial, emergency response) with settings where public ambivalence is well documented (domestic, healthcare).

The visitors who chose to drive the Spot robot could also participate in a short survey before and after their driving experience. The survey focused on two core dimensions:

  • Comfort: How comfortable would you feel if you encountered a robot in a factory, home, hospital, office, or outdoor/disaster scenario?
  • Suitability: How well would this robot work in each of those contexts?

The survey also recorded emotional reactions immediately after driving, likelihood to recommend the experience, and open-ended responses about what they found memorable or surprising. The researchers were careful to separate the environment participants drove through from the scenarios they were asked to evaluate in the survey. This distinction is important for interpreting the results given below.

Did Interacting With the Robot Change People’s Feelings about Robots?

Out of approximately 10,000 guests that visited the Robot Lab, 10 percent of those drove the Spot and opted in to our surveys. Of those surveyed, more than 65 percent of people had seen images or videos of Spot robots online, but most had never seen one of the robots in person.

Increased Comfort Through Experience

Across all five contexts presented in the survey (factory, home, hospital, office, and outdoor/disaster scenarios), comfort scores increased significantly after the driving session. The effects were small to moderate in magnitude, but they were consistent and statistically robust after correcting for multiple comparisons across all participants spanning children to older adults.

The largest gain appeared in the outdoor/disaster context, which started with low comfort despite high perceived suitability. People already thought Spot would be useful in search-and-rescue scenarios; they just weren’t comfortable with it performing in that scenario. This discomfort may stem from media portrayals of quadruped robots in military contexts. A few minutes of hands-on control appears to partially dissolve that apprehension.

Participants who drove through the factory-themed arena showed no significant increase in comfort, but this scenario already had the highest rating of any rated context at baseline, leaving little room for improvement.

No matter their previous experience, most people were neutral about having a Spot robot in their home before their driving experience. However, after the experience of controlling the Spot robot, people had a statistically significant increase in their comfort at having a Spot in their home and also felt that a Spot robot was more suitable for work in any environment, not just the one they had driven it in.

Better Understanding of Where Robots Can Fit Into Daily Life

Perceived suitability for Spot to operate in each context also increased. However, the pattern in the data is different. The largest gains weren’t in the high-baseline industrial and outdoor contexts. They were in home, office, and hospital—the very environments where people started out most skeptical.

Participants who drove the Spot robot in a home-themed environment didn’t just consider homes more suitable for robots; they also rated hospitals and offices as more suitable. This result suggests that hands-on control alters something more fundamental than just context-specific familiarity. It may change a person’s underlying understanding of a robot’s capabilities and, consequently, where they believe robots are appropriate.

Results by Demographic

The hands-on experience seems to be similarly effective across genders, although it does not completely eliminate existing disparities. For example, men reported higher baseline comfort than women across all five contexts. However, all genders improved at similar rates after interaction. The gap didn’t significantly widen or close in most contexts, though it did narrow in factory and office settings.

Age effects were more context dependent. Children (aged 8–17) rated factory environments as less comfortable and less suitable before the study. However, this could be because most children do not have experience with factory settings or industrial environments. After interaction, this gap largely persisted. By contrast, children showed stronger gains in office comfort than older adults and entered the study rating home contexts more favorably than adults did.

Stacked bar chart of survey participants by age group and gender categories. Participants ranged from age 8 to over age 75.RAI Institute

Participants who had previously driven Spot (mainly robotics professionals) began with higher comfort across the board. But after the hands-on session, people with no prior exposure caught up to experienced drivers. This level of familiarity would be difficult to replicate with images and videos alone.

Post-Interaction Results

Post-interaction emotional data was overwhelmingly positive. “Excitement” was reported by 74 percent of participants, “happiness” by 50 percent, and only 12 percent reported “nervousness.” Over 55 percent rated the experience as “brilliant,” and 62 percent said they were very likely to recommend it to a friend.

The open-ended responses added a lot more color. The most commonly mentioned moments were locomotion and terrain adaptation (22 percent). This included the way Spot navigated steps, tight spaces, and uneven ground and expressive tilt movements (22 percent), which people found surprisingly doglike or dancelike. A smaller set of responses (3 percent) described anthropomorphic reactions: worrying about “hurting” the robot or finding its behavior “silly” in a way that prompted genuine emotional response.

When asked what tasks they’d want a robot to perform, responses shifted meaningfully. Before driving, answers clustered around domestic assistance and heavy or hazardous labor. After driving, domestic help remained prominent, but entertainment and play jumped from 7.5 percent to 19.4 percent. Companionship also appeared at 5 percent. References to hazardous or industrial tasks declined as people who had operated the robot began imagining it as a companion and playmate, not just a labor-replacement tool.

Key Takeaways from the Robot Lab

In the not-so-distant future, robots will become more common in public and private spaces. But whether that integration into daily life will be accepted by the general public remains to be seen. The standard approach to building acceptance has been passive exposure such as videos, exhibits, and articles. This study suggests giving people agency and letting them actually operate a robot is a qualitatively different intervention.

Short, well-designed, hands-on encounters can raise comfort in precisely the social domains where ambivalence is highest and where future robotics deployment will likely take place. This hands-on experience shouldn’t be limited to tech conferences and museums, as it may be more valuable than just entertaining.

Children control a robot car at a tech booth with staff and jungle-themed backdrop Fun for all ages!RAI Institute

We consider the pop-up a success, but as with all experiments, we also learned a lot along the way. For our takeaways, in addition to the increased comfort with robots, we also found that the guests to our space really enjoyed talking to the robotics experts who staffed the location. For many people, the opportunity to talk to a roboticist was as unique as the opportunity to drive a robot, and in the future, we are excited to continue to share our technical work as well as the experiences of our humans, in addition to our humanoids.

Does building a space where folks can experience robots firsthand have the potential to create meaningful, long-term attitude shifts? That remains an open question. But the effect’s direction and consistency across different situations, ages, and genders are hard to ignore.

Pop-Up Encounters With Spot: Shaping Public Perceptions of Robots Through Hands-On Experience, by Hae Won Park, Georgia Van de Zande, Xiajie Zhang, Dawn Wendell, and Jessica Hodgins from the RAI Institute and the MIT Media Lab, was presented last month at the 2026 ACM/IEEE International Conference on Human-Robot Interaction in Edinburgh, Scotland.

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Embattled hedge fund Situational Awareness invests $400M in chip startup Source Foundry

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Situational Awareness may have had to sell off the majority of its public portfolio last month, but the AI-focused hedge fund is still making some big bets.

This week, the fund invested $400 million into Source Foundry, a startup founded by Stanford researchers aiming to make chip manufacturing faster and cheaper, according to The Wall Street Journal. That brings its total investment in Source Foundry to $500 million.

Situational Awareness was founded by Leopold Aschenbrenner, a former OpenAI researcher in his mid-twenties who had no trading experience when he launched the fund in 2024. Early returns were reportedly strong, but the fund faced steep losses in recent months amidst the decline in AI infrastructure stocks.

At the end of July, Situational Awareness sold off the majority of its public portfolio to Ken Griffin’s Citadel, although the fund held on to its Anthropic shares. Its assets under management reportedly fell from $20 billion to $10 billion.

On the bright side, Aschenbrenner didn’t let those setbacks get in the way of his wedding.

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Anthropic is turning Claude Code’s auto mode on by default

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Programming with Claude Code will soon require even less human oversight, as Anthropic says it’s making auto mode the default for Pro, Max, and Team accounts, starting on August 14.

The company first unveiled a test version of auto mode in March, pitching it as a way to balance speed and control. As Anthropic explained in its announcement on Friday, when Claude Code is in auto mode, instead of presenting prompts asking for human approval at each step, it will proceed unless an action is determined to be “irreversible, destructive, or aimed outside your environment.”

Anthropic also said that in testing, auto mode proved safer than manual review — in a study with 1,053 paid testers, auto mode caught 89% of harmful actions, while human review only caught 13.6%. (Perhaps that’s because “manual review can become habitual: users approve 97% of permission prompts in Claude Code.”)

In a post on X, Claude Code Head Boris Cherny said, “The team and I use Auto mode exclusively, and have been for many months. I couldn’t imagine going back to permission prompts!”

The company also said it’s been adding new safety features like prompt injection screening and customizable hard deny rules to prevent things like data exfiltration.

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TechCrunch Mobility: Zoox prepares for launch and Uber’s AV empire

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Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it. To get this in your inbox, sign up here for free — just click TechCrunch Mobility!

In just a few days, Amazon-owned Zoox will start charging for robotaxi rides. This might not seem like a big deal; the company’s custom-built robotaxis are already giving rides to passengers in Las Vegas and San Francisco, after all. And it’s opening up an early rider program in Miami and Austin too. 

None of this matters — in a business sense — until the company can operate commercially. 

And now it can, starting August 10, thanks to an exemption issued by the National Highway Traffic Safety Administration (NHTSA). Because Zoox vehicles lack many of the traditional controls required under federal law, such as a steering wheel and pedals, it needed an exemption from federal motor vehicle standards in order to operate. It had an exemption that allowed it to demonstrate the technology; this one allows Zoox to operate a fleet of up to 2,500 vehicles commercially for two years. 

The exemption is a win for Zoox, but it also paves the way for any other autonomous vehicle developer that wants to launch a robotaxi that lacks a steering wheel, pedals, or other requirements that might not be needed in a vehicle with no human driver. For instance, a robotaxi really doesn’t need a rearview mirror; it already achieves that kind of visibility with sensors on the exterior of the vehicle. 

Tesla is the obvious beneficiary here since it is developing its two-seater Cybercab. But there will be others as well.


In other news, you might have missed my comprehensive assessment of Uber’s autonomous vehicle empire. Check it out; it offers a complete rundown of every company that Uber has partnered with (and in some cases invested in). And I hear more are coming. 

You might recall that the Financial Times did its own calculus of how much Uber was investing in AVs. The outlet determined it was about $10 billion. And what do you know? That is exactly the number Uber CEO Dara Khosrowshahi shared during the company’s earnings call. He said the company would commit $10 billion “over the coming years” to deploy 120,000 driverless vehicles.

Deals!

money the station
Image Credits:Bryce Durbin

Moove started out as an African fintech company that provided vehicle financing for app drivers. While Moove remains in the mobility sector, it has evolved into a mega ride-hail fleet owner (42,000 vehicles and growing) across 13 countries. 

It has also added a new business division focused on autonomous vehicles. Moove got an early win and is now the fleet operator for Waymo in Phoenix, Miami, and Las Vegas, and in the future, London. But co-CEO Ladi Delano clearly has grander ambitions for Moove — and now he has the fresh capital to try. 

The startup, now based in Dubai, raised $250 million in a Series C round led by Mubadala Investment Company with Woven Capital and Ion Pacific as co-leads. Moove, which is now valued at $2.1 billion, plans to use the funds to scale its autonomous vehicle fleet management business, including hiring about 350 people. 

One interesting item of note: Moove plans to buy Waymo robotaxis and already owns the robotaxi assets of another unnamed company.

Other deals that got my attention this week …

Accell Group Holding, the Dutch bike maker behind brands like Lapierre, Raleigh, and Sparta, was granted a suspension of payments, kicking off an insolvency process. In 2022, a consortium led by KKR bought the firm for 1.56 billion euros ($1.77 billion at the time).

Advanced Electric Machines Group, a U.K.-based manufacturer of rare earth and magnet-free electric motors, raised £16 million ($21.5 million) in a round led by Barclays Climate Ventures, PXN Ventures, Northstar Ventures, and the Low Carbon Innovation Fund. The funding round was complemented by loan support from Innovate UK.

Chargepoly, a French company specializing in the electrification of heavy-duty and commercial vehicle fleets, raised €23 million ($26 million) in a round led by Meridiam.

Hadrian, a defense tech company building automated manufacturing facilities, raised a $1.37 billion round at a valuation of $7.87 billion. The lead investors in the round include WCM Investment Management, Washington Harbour Partners, Valor Equity Partners, 137 Ventures, and Baillie Gifford.

Matel Motion & Energy Solutions, an India-based company developing energy-efficient motors, motor controllers, and integrated powertrains, raised INR 130 crore ($13.6 million) in a Series B funding round led by UC Impower. 

River, the Indian electric vehicle startup, raised $120 million in a Series C funding round led by Elev8 Venture Partners and Claypond Capital. Other investors included Singularity AMC, Anicut Capital, 360 ONE Asset, JIF Capital, HDFC AMC, along with existing backers Yamaha Motors, Al-Futtaim Group, and Mitsui.

Notable reads and other tidbits

Image Credits:Bryce Durbin

Ford has a name and a number for its new midsize EV. It will be called Fathom and will start at $28,350 when it goes on sale in 2027. TechCrunch climate tech reporter and long-time EV owner Tim De Chant argues that Ford needs another Taurus, and the Fathom isn’t it. What do you think? 

Joby Aviation, the electric vertical takeoff and landing company, reported earnings this week. Revenue is up compared with the same quarter last year, thanks to its acquisition of Blade Air Mobility. Net losses shrank a bit to $245 million. One of the more interesting announcements this week, though, was Joby’s partnership with Atoms, Travis Kalanick’s AI and industrial automation startup. The partnership will develop and finance a network of transportation hubs serving air taxis and autonomous ground vehicles with an initial focus on Florida, New York, and Texas, as well as California, according to Joby.

Lucid Motors’ second-quarter earnings struck a somber it’s-time-to-get-down-to-business tone. And that comes with a cost. New CEO Silvio Napoli outlined four must-win priorities that include a $1.4 billion cost savings plan. It’s also banking on a successful robotaxi program with Uber and Nuro and launching its midsize Cosmos EV, which has now been delayed until the second half of 2027. 

Nvidia has released its Alpamayo 2 Super for commercial use — an AI model designed for autonomous driving. The model is available on Hugging Face, and the open license covers commercial redistribution and derivative models that allow AV developers, automakers, and others to adapt Alpamayo to their own data, driving policies, and deployment strategies, the company said.

Teamsters California sued the California Department of Motor Vehicles, alleging that the agency did not properly study and disclose the economic impacts of allowing self-driving heavy-duty trucks on the state’s roads. I reached out to a few AV developers and all declined to comment. However, the Autonomous Vehicle Industry Association did issue a statement: “This lawsuit from the Teamsters sets a new standard in abusive and frivolous litigation and cannot be taken seriously.”

TechCrunch teamed up with New York-based financial research firm Hudson Labs again. This time to map what Elon Musk and Tesla’s other executives have spent the last seven years talking about on the company’s quarterly earnings calls. Check out the full story for graphs and complete findings. Here is a taste: Musk now speaks about artificial intelligence, along with robotaxis and Full Self-Driving software, nearly 50% of the time.

Speaking of Elon Musk, his companies had a newsy week. SpaceX reported its first earnings report as a publicly traded company. The TL;DR: The company doubled its revenue compared to last year, in large part thanks to the growth of its Starlink satellite internet service and deals it struck to rent out computing power to Anthropic and Google. And during the earnings call, Musk made some out-of-this-world claims about the company’s business and future prospects, while his fellow executives tried to bring his ideas closer to Earth.

Meanwhile, Tesla and SpaceX said that “Terafab,” the advanced chip factory they are jointly developing, will be built in Grimes County, Texas, outside Houston, and that they will make an initial investment of $16.8 billion in the project.

The New York Times published an investigation on Uber’s defense strategy against more than 4,000 lawsuits filed by passengers who allege the company failed to protect them from sexual violence. 

Waymo dropped the waitlist for its robotaxi service in Dallas, opening it up to all residents and visitors.

One more thing …

Travis Kalanick, and his AI and industrial automation startup Atoms, is popping up everywhere these days (see that Joby partnership above). Kalanick isn’t just making deals — although remember he did just raise $1.7 billion. The former Uber CEO also appears to be getting the band back together and bringing on former engineers and executives he once worked with. 

For instance, Gautam Gupta, the former finance chief under Kalanick, has joined Atoms as chief financial officer. Gupta spent more than four years at Uber until he left in July 2017, just a few weeks after Kalanick resigned as CEO. 

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