Amazon's Robots That Feel Things?

How Amazon's Touchy-Feely Tech Is Actually Kind of Amazing

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TLDR: Amazon's Touch-Sensing Robot and What It Means for Sellers

Amazon's new Vulcan robot represents a significant advancement in warehouse automation by incorporating touch sensors that allow it to "feel" objects—something previous warehouse robots couldn't do. This tactile sensing enables Vulcan to carefully manipulate items in crowded storage bins without causing damage, handling approximately 75% of Amazon's inventory types at speeds comparable to human workers. Similar technology is being developed by companies like Sanctuary AI, Meta, and Figure AI, signaling a broader shift toward more dexterous robotic systems in ecommerce operations.

For sellers, these developments could mean faster fulfillment, fewer damaged items, and eventually lower FBA fees as Amazon's operational costs decrease. While Amazon currently has a significant advantage in automation technology, the capabilities will likely trickle down to smaller operations and 3PLs over time, potentially helping level the competitive landscape. Sellers should prepare by considering "robot-friendly" packaging, optimizing inventory levels for faster fulfillment, and recognizing which product types might continue to require human handling. Though these advancements promise efficiency gains, they also raise concerns about warehouse jobs gradually being eliminated as automation capabilities expand—a reality that the industry must address as these technologies mature.

Robots That Feel Things? How Amazon's Touchy-Feely Tech Is Actually Kind of Amazing

Source: Amazon

Okay, let's talk about how weird-yet-awesome the ecommerce robot situation is getting. Amazon just dropped Vulcan—their first robot with an actual sense of touch.

Here's the deal: until now, warehouse robots have basically been those awkward party guests who can see everything but bump into you anyway. They could look at objects all day long but had zero sense of how hard they were grabbing your favorite coffee mug. 

Enter Vulcan, with what Amazon describes as looking like "a ruler stuck onto a hair straightener" (I can't unsee this now) plus force feedback sensors. It's essentially a robot that can feel its way through a crowded storage bin—moving stuff around without smashing your order of fancy wine glasses. 

"Vulcan represents a fundamental leap forward in robotics," says Aaron Parness, Amazon's director of applied science. "It's not just seeing the world, it's feeling it." Which, honestly, feels like something straight out of a sci-fi movie, but it's happening in warehouses in Spokane and Hamburg right now.

The Touch Revolution 

Honest, embarrassing truth: I spend way too much time thinking about how robots and AI are evolving. My friends have started timing how quickly I can turn any conversation to "but did you hear about this wild new tech thing?" (My record is 47 seconds from "how was your weekend" to "neural interfaces" at a birthday party last month. Not my proudest moment.)

But this tactile sensing stuff is legitimately fascinating. It's solving a massive problem that's kept robots from being truly useful in messy, real-world situations. Think about how much you rely on touch without even realizing it—feeling around in your bag for your keys, knowing you've grabbed the right number of sheets of paper, or detecting that your coffee cup is about to slip from your fingers.

Sanctuary AI gets this. They've equipped their Phoenix robots with similar touch tech, and their CEO James Wells explains it perfectly: "The sense of touch is a key enabler for creating human-level dexterity in robots." Their systems can handle things even when they can't see them clearly—which, as someone who regularly tries to find things in my backpack by touch alone, I deeply appreciate.

Sanctuary AI

Dr. Jeremy Fishel from Sanctuary AI points out something I never considered: "Without tactile sensing, robots depend on video to interact with their environment. With video alone you don't know you've touched something until well after the collision has physically caused the object to move."

Meta's working on this problem too, with a system called Sparsh (which sounds like what my cat does when annoyed) and something called Digit 360, which is essentially an artificial finger. Meanwhile, Figure AI is going full humanoid with robots that build other robots—which would be terrifying if they weren't so focused on practical warehouse applications rather than, you know, world domination.

What This Actually Means for Sellers Like Us

As someone who's spent years navigating the complexities of selling on Amazon and other platforms, I'm looking at these developments through a different lens. How will this affect our businesses, our margins, and our ability to compete?

For starters, we need to consider how these robots might change Amazon's FBA program. According to Berkshire Grey, over 90% of picking in warehouses is still done manually. As touch-enabled robots take on more of this work, we could see several direct impacts:

First, potentially faster processing times. If Vulcan can handle 75% of item types at speeds comparable to human workers (without needing breaks), our products could move through fulfillment centers more efficiently. This might mean faster delivery times for our customers and potentially lower FBA fees in the long run as Amazon's costs decrease.

Second, we might see fewer damaged items and lower return rates. One ongoing frustrations for many sellers has been receiving emails from customers about products damaged during warehousing or fulfillment. Touch-sensitive robots that can gauge appropriate force could reduce these incidents, especially for fragile or oddly-shaped items that have always been challenging for automation.

For those of us who run our own warehouses or use 3PL services, these technologies will eventually trickle down to mid-sized operations. Amazon has deployed over 750,000 robots already, but smaller, more affordable versions of this technology will likely become available to businesses of our size in the coming years.

We can't talk about these advances without acknowledging the elephant in the warehouse: jobs. While Amazon emphasizes that Vulcan works "alongside" employees rather than replacing them, the long-term trajectory is clear. As these robots become more capable and cost-effective, certain warehouse positions will inevitably diminish. For every new "robot wrangler" job created, multiple picking and stowing positions might eventually disappear.

The Competitive Landscape Is Shifting

The warehouse automation market is growing at 13% annually, with good reason—the total annual warehouse labor spend exceeds $230 billion.

Right now, Amazon has a massive advantage in fulfillment efficiency. Their scale allows them to invest billions in proprietary technology like Vulcan. But as these technologies mature and become more accessible, we might see more 3PL providers adopting similar capabilities, which could help level the playing field somewhat.

Berkshire Grey notes that "You certainly don't need to replace what's already working. Today's modular, scalable solutions are holistic: they are designed to enable easier integration via well-defined APIs." This is good news for those of us without Amazon-sized budgets—we can potentially adopt these technologies incrementally as they become available through our fulfillment partners.

Practical Considerations for Our Businesses

Here are a few ways these developments might influence our strategies:

Inventory Management: As fulfillment becomes more efficient, we might be able to maintain lower inventory levels while still meeting customer expectations. This could free up capital that's currently tied up in stock.

Product Design: Knowing that robots are increasingly handling our products, we might want to consider packaging designs that are "robot-friendly." Simple changes to packaging could potentially improve how our products are handled by automated systems.

SKU Rationalization: With robots handling 75% of item types, what about the other 25%? If you sell products that are particularly challenging for automation (very small, oddly shaped, or extremely fragile items), you might maintain a competitive advantage for longer—or face higher fulfillment costs as these items require special handling.

The Bottom Line for Sellers

Amazon's touch-enabled Vulcan robot signals an important shift in ecommerce operations that will eventually affect all of us selling online. While the immediate impact might be limited to Amazon's internal efficiencies, the ripple effects will reach our businesses through changing customer expectations, evolving fulfillment options, and new competitive dynamics.

Rather than fearing these changes, we can prepare by understanding the technology's trajectory and adjusting our strategies accordingly. For most of us, the best approach is to stay informed about these developments while focusing on the aspects of our businesses where human touch still makes the biggest difference—product selection, customer relationships, and creative marketing.

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Prompting Mastery:

This prompt is to be used with GenSpark.ai

It creates a super detailed Competitor Analysis Matrix as you can see below.

You are: a senior digital-marketing strategist preparing a slide-deck briefing for my executive team.
Mission: deliver a data-backed, side-by-side competitive analysis and end with 90-day, 180-day, and 12-month recommendations we can act on.

1 Set-up
• Business context:
  • Industry: [INSERT TYPE OF BUSINESS]
  • Primary goal of this analysis: sharpen our positioning & allocate budget more efficiently.
• Competitors to benchmark (⩽ 8): [INSERT COMPETITOR NAMES AS BULLETED LIST]
• Geography & language focus: default to our core market unless otherwise stated.
• Time frame for data sampling: last 90 days, with YoY deltas where available.
• Public sources permitted: company web sites, Similarweb estimates, social platforms, ad libraries, SEMrush/Ahrefs screenshots, press articles. Cite each source inline (e.g., Source 1).

2 Evaluation rubric (score 0-5 per criterion)
A. Online presence & UX
 1 Site performance (Core Web Vitals)
 2 Mobile friendliness
B. Content strategy
 3 Blog / resource volume & freshness
 4 Tone & brand consistency
C. SEO
 5 Organic traffic share
 6 Top ranking keywords & difficulty
D. Social media
 7 Platform mix & posting cadence
 8 Engagement-per-post rate
E. Paid advertising
 9 Channels in use (Search, Display, Meta, TikTok, etc.)
 10 Creative diversity & offer clarity

3 Output instructions
Master table – Markdown format, one row per competitor, one column per rubric point; include the 0-5 score and one-sentence justification.

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Recommendations – an H2 section with a bulleted plan:
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• Strategic bets (90-180 days) – medium-term initiatives needing cross-team buy-in.
• Moons shots (12 months+) – bigger plays that can differentiate us.
Use SMART formatting (Specific, Measurable, Achievable, Relevant, Time-bound) and reference the rubric numbers that each action addresses.

4 Style guides
• Write in concise business English (no fluff, no emojis).
• Use bold for section headings, italics for source citations, and back-ticks for metrics or URLs.
• Limit the total word count to ~750 so it fits in a deck slide-note pane.
• If any data is unavailable, flag it with “N/A” and suggest how we could obtain it (e.g., Similarweb paid tier).

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You can see the full result here.

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About The Writer:

Jo Lambadjieva is an entrepreneur and AI expert in the e-commerce industry. She is the founder and CEO of Amazing Wave, an agency specializing in AI-driven solutions for e-commerce businesses. With over 13 years of experience in digital marketing, agency work, and e-commerce, Joanna has established herself as a thought leader in integrating AI technologies for business growth.

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