Are humanoid robots really the future of the home, or are we looking at consumer robotics the wrong way?

In this episode of Humanoid Daily, John Koetsier talks with Amber Atherton, serial entrepreneur and investor at Patron, about why the next wave of home robotics may look less like a humanoid assistant and more like a collection of highly specialized, beautifully designed devices that each take ownership of a specific part of everyday life.
That could mean robots for skincare, hairstyling, gardening, cleaning, wardrobe management, or dozens of other repetitive household rituals.

Amber argues that consumer adoption often happens through specialization rather than generalization. Instead of one robot that does everything, she sees an opportunity for what she calls “enchanted objects”: intelligent devices that quietly automate specific routines and eventually disappear into everyday life.

John and Amber also discuss why Roomba remains such an important example in consumer robotics, how AI foundation models are changing robot development, why falling costs for motors, sensors, batteries, and compute matter, and what price consumers might actually pay for useful household robots.

They also debate whether humanoids will eventually dominate, how manufacturing and supply chains could shape the market, the importance of hardware ecosystems and recurring revenue, and whether the future operating system for physical AI will be controlled by companies like Google DeepMind, NVIDIA, or an entirely new generation of startups.

Finally, they imagine what the average home could look like by 2036, and why the biggest robotics companies of the future may not look like robotics companies at all.

Topics include:
• Humanoid robots vs. specialized robots
• Consumer robotics and embodied AI
• Robots for skincare and hairstyling
• The future of household automation
• Why Roomba succeeded
• AI foundation models for robotics
• Robotics manufacturing and supply chains
• Pricing home robots
• Hardware subscriptions and app ecosystems
• Physical AI and robot training data
• Google DeepMind, NVIDIA, 1X, Figure, and Apptronik
• What the smart home could look like in 2036


Chapters:
00:00 Robots for skincare, hair, and household rituals
00:19 Meet Amber Atherton
01:16 What chore should robots eliminate first?
02:48 The overlooked opportunities in consumer robotics
04:15 Specialized robots vs. humanoids
06:23 Why technology both consolidates and specializes
07:40 Could robotic hands braid your hair?
08:10 Why home robots may not need humanoid bodies
10:10 The kitchen proves specialization can win
12:02 Why Roomba is still the consumer robotics benchmark
12:24 Why consumer robotics could take off now
14:06 AI is dramatically accelerating hardware development
15:04 Manufacturing, China, and the future of U.S. robotics
16:44 Could regulation actually favor humanoid robots?
18:01 What price will consumers pay for a home robot?
19:38 What would a skincare robot be worth?
21:50 The business model for consumer robotics
22:29 What investors are getting wrong about humanoids
24:09 Building the ecosystem for home robotics
25:00 What will the average home look like in 2036?
26:25 Who will own the operating system for physical AI?
27:12 The opportunity in robot training data
28:21 Final thoughts

Are humanoid robots really the future of the home, or are we looking at consumer robotics the wrong way?

In this episode of Humanoid Daily, John Koetsier talks with Amber Atherton, serial entrepreneur and investor at Patron, about why the next wave of home robotics may look less like a humanoid assistant and more like a collection of highly specialized, beautifully designed devices that each take ownership of a specific part of everyday life.
That could mean robots for skincare, hairstyling, gardening, cleaning, wardrobe management, or dozens of other repetitive household rituals.

Amber argues that consumer adoption often happens through specialization rather than generalization. Instead of one robot that does everything, she sees an opportunity for what she calls “enchanted objects”: intelligent devices that quietly automate specific routines and eventually disappear into everyday life.

John and Amber also discuss why Roomba remains such an important example in consumer robotics, how AI foundation models are changing robot development, why falling costs for motors, sensors, batteries, and compute matter, and what price consumers might actually pay for useful household robots.

They also debate whether humanoids will eventually dominate, how manufacturing and supply chains could shape the market, the importance of hardware ecosystems and recurring revenue, and whether the future operating system for physical AI will be controlled by companies like Google DeepMind, NVIDIA, or an entirely new generation of startups.

Finally, they imagine what the average home could look like by 2036, and why the biggest robotics companies of the future may not look like robotics companies at all.

Topics include:
• Humanoid robots vs. specialized robots
• Consumer robotics and embodied AI
• Robots for skincare and hairstyling
• The future of household automation
• Why Roomba succeeded
• AI foundation models for robotics
• Robotics manufacturing and supply chains
• Pricing home robots
• Hardware subscriptions and app ecosystems
• Physical AI and robot training data
• Google DeepMind, NVIDIA, 1X, Figure, and Apptronik
• What the smart home could look like in 2036


Chapters:
00:00 Robots for skincare, hair, and household rituals
00:19 Meet Amber Atherton
01:16 What chore should robots eliminate first?
02:48 The overlooked opportunities in consumer robotics
04:15 Specialized robots vs. humanoids
06:23 Why technology both consolidates and specializes
07:40 Could robotic hands braid your hair?
08:10 Why home robots may not need humanoid bodies
10:10 The kitchen proves specialization can win
12:02 Why Roomba is still the consumer robotics benchmark
12:24 Why consumer robotics could take off now
14:06 AI is dramatically accelerating hardware development
15:04 Manufacturing, China, and the future of U.S. robotics
16:44 Could regulation actually favor humanoid robots?
18:01 What price will consumers pay for a home robot?
19:38 What would a skincare robot be worth?
21:50 The business model for consumer robotics
22:29 What investors are getting wrong about humanoids
24:09 Building the ecosystem for home robotics
25:00 What will the average home look like in 2036?
26:25 Who will own the operating system for physical AI?
27:12 The opportunity in robot training data
28:21 Final thoughts

7 0

YouTube Video UEw3ZWhrWTlTdkNCWnQ4dE1FQzIybDV0ZERHT244a3UzTy5DMDQzQ0Y1OUU5Qjk1NjE1

The next billion-dollar home robot might not be a humanoid

Humanoid Home News September 8, 2026 6:48 pm

Welcome to Episode 17 of The Robo Success Podcast, where robotics meets real-world impact.
In this episode, we explore one of the biggest remaining challenges in humanoid robotics: dexterity.


Our guest, Jay Li, CEO and Founder of Proception, shares insights into why advanced robotic hands still struggle to match human dexterity, the critical role of tactile sensing, and how better hardware and data could unlock more capable general-purpose robots.


🎙️ Guest: Jay Li, CEO & Founder of Proception
🎙️ Host: Jesica Chavez
🎙️ Co-host: Andy Diepen


🔍 What you'll hear:
• Why humanoid robots still fall short of human-level dexterity
• Why tactile sensing may be one of robotics' biggest bottlenecks
• How neural networks and data are changing the approach to robotic manipulation
• How Proception combines robotic hardware with high-quality data collection
• Why better dexterity could expand the role of robots across industries
The next generation of robots won't just need better movement. They will need to sense, adapt, and interact with the physical world with far greater precision. Dexterity may be one of the capabilities that determines how useful general-purpose robots can ultimately become.


More at: www.robo-success.com (http://www.robo-success.com/)
Follow us to stay ahead in robotics, AI, and automation.

Hosted on Ausha. See ausha.co/privacy-policy for more information.

Welcome to Episode 17 of The Robo Success Podcast, where robotics meets real-world impact.
In this episode, we explore one of the biggest remaining challenges in humanoid robotics: dexterity.


Our guest, Jay Li, CEO and Founder of Proception, shares insights into why advanced robotic hands still struggle to match human dexterity, the critical role of tactile sensing, and how better hardware and data could unlock more capable general-purpose robots.


🎙️ Guest: Jay Li, CEO & Founder of Proception
🎙️ Host: Jesica Chavez
🎙️ Co-host: Andy Diepen


🔍 What you'll hear:
• Why humanoid robots still fall short of human-level dexterity
• Why tactile sensing may be one of robotics' biggest bottlenecks
• How neural networks and data are changing the approach to robotic manipulation
• How Proception combines robotic hardware with high-quality data collection
• Why better dexterity could expand the role of robots across industries
The next generation of robots won't just need better movement. They will need to sense, adapt, and interact with the physical world with far greater precision. Dexterity may be one of the capabilities that determines how useful general-purpose robots can ultimately become.


More at: www.robo-success.com (http://www.robo-success.com/)
Follow us to stay ahead in robotics, AI, and automation.

Hosted on Ausha. See ausha.co/privacy-policy for more information.

1 0

YouTube Video UEw3ZWhrWTlTdkNCWnQ4dE1FQzIybDV0ZERHT244a3UzTy45QzgzRjYzM0NGOEI2MzdG

Ep. 17: Today's Humanoid Robots Have Toddler Hands, Not Adult Ones.

Humanoid Home News September 8, 2026 10:02 am

Is Tesla’s Optimus Gen 3 truly the "best cooking robot ever," or is bringing a 130-pound machine into your kitchen an unprecedented safety risk?  While humanoid robots across the internet go viral for backflips, dancing, and kung fu tricks, Tesla is trying to solve the real bottleneck of robotics: Moravec’s Paradox. Can a robotic hand handle a kitchen knife, rinse a dish, or pick up a raw egg without crushing it?  In this deep-dive breakdown, we go beyond the hype to analyze the actual engineering inside Tesla Bot Gen 3:
• The 22-Degree-of-Freedom Hand: How relocating actuators to the forearm and using bio-inspired tendon cables cuts end-effector weight by up to 40%.
• The Water-Resistance Factor: Why moisture protection unlocks real everyday chores like washing dishes and wiping wet counters.
• Tesla AI5 Silicon & Edge Computing: How a 5x leap in memory bandwidth eliminates the fatal "stop-and-think" pause, allowing local, real-time spatial reactions without relying on the cloud.
• The Physical Bug Danger: What happens when a software glitch moves from a smartphone screen into a heavy metal machine standing near your family?
• The $70,000 Commercial Reality: Why Wall Street and robotics analysts project early commercial pricing near $70,000 for factories and warehouses before Optimus ever enters a consumer home.  

💬 QUESTION OF THE DAY:
Would you trust Optimus Gen 3 to work freely in your home today, or should humanoid robots spend the next 5 years strictly tested inside guarded factories? Let us know your thoughts in the comments below!  🔔 Subscribe for in-depth engineering breakdowns and unfiltered analysis on the future of AI, robotics, and automation.
=====
Disclaimer: This video is for informational and analytical purposes only; any discussion of Tesla’s future products, pricing, or features is based on publicly available information and informed analysis, not official confirmation, and viewers should verify important details through Tesla’s official channels before making any financial or purchasing decisions.
#Tesla #OptimusGen3 #TeslaBot #HumanoidRobot #AI5 #Robotics

Is Tesla’s Optimus Gen 3 truly the "best cooking robot ever," or is bringing a 130-pound machine into your kitchen an unprecedented safety risk? While humanoid robots across the internet go viral for backflips, dancing, and kung fu tricks, Tesla is trying to solve the real bottleneck of robotics: Moravec’s Paradox. Can a robotic hand handle a kitchen knife, rinse a dish, or pick up a raw egg without crushing it? In this deep-dive breakdown, we go beyond the hype to analyze the actual engineering inside Tesla Bot Gen 3:
• The 22-Degree-of-Freedom Hand: How relocating actuators to the forearm and using bio-inspired tendon cables cuts end-effector weight by up to 40%.
• The Water-Resistance Factor: Why moisture protection unlocks real everyday chores like washing dishes and wiping wet counters.
• Tesla AI5 Silicon & Edge Computing: How a 5x leap in memory bandwidth eliminates the fatal "stop-and-think" pause, allowing local, real-time spatial reactions without relying on the cloud.
• The Physical Bug Danger: What happens when a software glitch moves from a smartphone screen into a heavy metal machine standing near your family?
• The $70,000 Commercial Reality: Why Wall Street and robotics analysts project early commercial pricing near $70,000 for factories and warehouses before Optimus ever enters a consumer home.

💬 QUESTION OF THE DAY:
Would you trust Optimus Gen 3 to work freely in your home today, or should humanoid robots spend the next 5 years strictly tested inside guarded factories? Let us know your thoughts in the comments below! 🔔 Subscribe for in-depth engineering breakdowns and unfiltered analysis on the future of AI, robotics, and automation.
=====
Disclaimer: This video is for informational and analytical purposes only; any discussion of Tesla’s future products, pricing, or features is based on publicly available information and informed analysis, not official confirmation, and viewers should verify important details through Tesla’s official channels before making any financial or purchasing decisions.
#Tesla #OptimusGen3 #TeslaBot #HumanoidRobot #AI5 #Robotics

189 41

YouTube Video UEw3ZWhrWTlTdkNCWnQ4dE1FQzIybDV0ZERHT244a3UzTy44NzU0QzkxNUZBMjU2NjVE

Tesla Bot Gen 3: The "Best Cooking Robot Ever" Has a Terrifying Flaw

Humanoid Home News September 2, 2026 8:00 pm

Elon Musk predicts that more than 1 billion humanoid robots could exist worldwide within the next 10 years.
But the real story is not just the number.
Musk’s broader idea is that AI will move from digital work into the physical world, where robots could eventually help manufacture the next generation of robots. That could create a recursive expansion of physical production capacity.
In this video, we break down:
• What Musk actually predicted• What “robots building robots” really means• Why 1 billion robots would require extraordinary manufacturing growth• The 7 major bottlenecks that could slow this future• Why AI alone is not enough• The roles of factories, semiconductors, motors, batteries, resources, electricity, maintenance, regulation, and economics• How this relates to Tesla and Optimus
Important: The 1 billion figure is Musk’s prediction for humanoid robots globally. It is not an official Tesla production target for Optimus.
Instead of focusing only on ambitious long-term forecasts, the key metrics to watch are real-world task completion, autonomy, production volume, manufacturing cost, uptime, maintenance costs, and customer deployments.
The humanoid robot race may ultimately become much more than an AI competition. It could become a competition over factories, energy, supply chains, and physical production capacity.

🚗 Upgrade your tesla here!

🛒 NEW! accessories for all Tesla models—Model X, S, 3, Y & Cybertruck
🎁 Enjoy free global shipping on orders over $130
🚀 Fast doorstep delivery within 5-7 days via DHL Express
💯 DDP: Tax & VAT included, no need to pay extra

Tesla Special 2025 Offer:
Use code: FUTURE25
Shopping now : https://www.jowua-life.com/special_accessories_discount_by_teslife

ーーーーーーーーーーーーーーーーーーーーーーーー★

↓🔔 Subscribe for daily Tesla news, stock updates, and deep dives into Elon Musk’s world.↓
https://www.youtube.com/channel/UCAEqp4FXSVbHgTqkLQRMGNQ

Also follow me on X and Instagram for even more Tesla content.
If you’re ever visiting Japan, drop a comment — I’d love to connect with fellow Tesla fans around the world!

📢 Instagram
→ https://www.instagram.com/ken.tesla?igsh=aXA3eTdqcGtpemhh&utm_source=qr

📢 X
→ https://x.com/tesla_modely?s=21&t=rN6HNmvr40E16sxsWqBmqg

★ーーーーーーーーーーーーーーーーーーーーーーーー
◆Ken’s Profile

Ken purchased a Model Y right after it was released in Japan in 2022.
In the spring of 2025, he installed N-type solar panels and a Powerwall at his home, and now charges his Tesla using solar energy.

He is also an investor in Tesla stock and started his YouTube channel to support Tesla’s vision for the future.

On this channel, he collects Tesla-related information—mainly from international media—and shares updates daily.
Although he is Japanese and lives in Japan, he hopes to connect with Tesla fans from all around the world.
Thank you for your support!

#HumanoidRobots #ElonMusk #Tesla #Optimus #ArtificialIntelligence
★ーーーーーーーーーーーーーーーーーーーーーーーー
“Airport Lounge - Disco Ultralounge” by Kevin MacLeod is licensed under the Creative Commons Attribution 4.0 License.
https://creativecommons.org/licenses/by/4.0/
Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100806
Artist: http://incompetech.com/

Elon Musk predicts that more than 1 billion humanoid robots could exist worldwide within the next 10 years.
But the real story is not just the number.
Musk’s broader idea is that AI will move from digital work into the physical world, where robots could eventually help manufacture the next generation of robots. That could create a recursive expansion of physical production capacity.
In this video, we break down:
• What Musk actually predicted• What “robots building robots” really means• Why 1 billion robots would require extraordinary manufacturing growth• The 7 major bottlenecks that could slow this future• Why AI alone is not enough• The roles of factories, semiconductors, motors, batteries, resources, electricity, maintenance, regulation, and economics• How this relates to Tesla and Optimus
Important: The 1 billion figure is Musk’s prediction for humanoid robots globally. It is not an official Tesla production target for Optimus.
Instead of focusing only on ambitious long-term forecasts, the key metrics to watch are real-world task completion, autonomy, production volume, manufacturing cost, uptime, maintenance costs, and customer deployments.
The humanoid robot race may ultimately become much more than an AI competition. It could become a competition over factories, energy, supply chains, and physical production capacity.

🚗 Upgrade your tesla here!

🛒 NEW! accessories for all Tesla models—Model X, S, 3, Y & Cybertruck
🎁 Enjoy free global shipping on orders over $130
🚀 Fast doorstep delivery within 5-7 days via DHL Express
💯 DDP: Tax & VAT included, no need to pay extra

Tesla Special 2025 Offer:
Use code: FUTURE25
Shopping now : https://www.jowua-life.com/special_accessories_discount_by_teslife

ーーーーーーーーーーーーーーーーーーーーーーーー★

↓🔔 Subscribe for daily Tesla news, stock updates, and deep dives into Elon Musk’s world.↓
https://www.youtube.com/channel/UCAEqp4FXSVbHgTqkLQRMGNQ

Also follow me on X and Instagram for even more Tesla content.
If you’re ever visiting Japan, drop a comment — I’d love to connect with fellow Tesla fans around the world!

📢 Instagram
→ https://www.instagram.com/ken.tesla?igsh=aXA3eTdqcGtpemhh&utm_source=qr

📢 X
→ https://x.com/tesla_modely?s=21&t=rN6HNmvr40E16sxsWqBmqg

★ーーーーーーーーーーーーーーーーーーーーーーーー
◆Ken’s Profile

Ken purchased a Model Y right after it was released in Japan in 2022.
In the spring of 2025, he installed N-type solar panels and a Powerwall at his home, and now charges his Tesla using solar energy.

He is also an investor in Tesla stock and started his YouTube channel to support Tesla’s vision for the future.

On this channel, he collects Tesla-related information—mainly from international media—and shares updates daily.
Although he is Japanese and lives in Japan, he hopes to connect with Tesla fans from all around the world.
Thank you for your support!

#HumanoidRobots #ElonMusk #Tesla #Optimus #ArtificialIntelligence
★ーーーーーーーーーーーーーーーーーーーーーーーー
“Airport Lounge - Disco Ultralounge” by Kevin MacLeod is licensed under the Creative Commons Attribution 4.0 License.
https://creativecommons.org/licenses/by/4.0/
Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100806
Artist: http://incompetech.com/

4 14

YouTube Video UEw3ZWhrWTlTdkNCWnQ4dE1FQzIybDV0ZERHT244a3UzTy5FRjIwODg5RjRFMzgwNzQ2

1 Billion Humanoid Robots in 10 Years? Elon Musk’s Prediction Explained

Humanoid Home News September 2, 2026 3:27 pm