Humanoid robots are coming into our homes, but they probably won’t be doing your laundry anytime soon.

In this episode of TechFirst, host John Koetsier sits down with Jan Liphardt, founder & CEO of OpenMind and Stanford bioengineering professor, to unpack what home robots will actually do in the near future ... and why the “labor-free home” vision is mostly a myth (for now).

Jan explains why hands are still one of the hardest unsolved problems in robotics, why folding laundry is far harder than it looks, and why the most valuable early use cases for home robots aren’t chores at all.

Instead, we explore where robots are already delivering real value today:

• Health companionship and fall detection for aging parents

• Personalized education for kids, beyond screens

• Home security that respects privacy

• And why people form emotional bonds with robots faster than expected

We also dive into OM1, OpenMind’s open-source, AI-native operating system for robots, and why openness, transparency, and configurability will matter deeply as robots move from factories into our living rooms.

If you’re curious about the real future of humanoid robots — what’s hype, what’s possible today, and what’s coming next — this conversation is for you.

🎙 Guest

Jan Liphardt

Founder & CEO, OpenMind

Stanford Professor of Bioengineering

Website: https://openmind.com

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00:00 Intro: The promise of humanoid robots at home

00:40 Meet Jan Liphardt and OpenMind’s OM1

01:12 Why your “labor droid” isn’t here yet

01:41 The “hand problem” and what robots can realistically do now

03:07 Why economics matters: $300/hour tasks vs. laundry and dishes

04:19 Robot hands today: reliability, repairability, and washing hands

05:16 LG’s laundry-folding demo and why fabric is still hard

06:16 Hospitals and hygiene: why “robot hand-washing” is unsolved

07:41 Hands as a separate system: compute, sensors, and integration

08:31 Why wheeled humanoids exist: hands first, body second

09:26 The real home use cases today: security, education, companionship

10:08 Aging in place: fall detection and remote nurse escalation

11:30 Real-world stories: parents living alone and why this matters

11:54 Privacy tradeoffs: robots vs. always-on home cameras

12:52 AIBO and why people get attached to mobile robots

13:52 Self-charging and the “my mom won’t plug it in” problem

14:21 Beyond falls: autism support and memory care

15:27 The education use case: “do my homework” vs. teach me

16:26 Personalized learning: what current classrooms miss

17:51 Why robot teachers beat screens for younger kids

18:46 Home security basics: unfamiliar face detection + alerts

19:15 Adding sensors: smoke, fire, sound, and anomaly detection

19:41 Quadrupeds vs. humanoids: cost, simplicity, and mobility

20:01 Safety issue: pinch hazards and kids hugging robots

20:46 What’s next for home labor robots

21:43 Why OM1 must be open source: transparency and trust

23:39 Why ROS 2 isn’t enough for human environments

24:37 OM1 approach: LLM-centric “Lego blocks” for robot behavior

25:43 Open-source humanoids for kids and why ownership matters

27:41 What’s missing: simulation is the bottleneck

28:11 Gazebo/Isaac Sim pain and the need for realistic sims

29:57 Why voice + “digital humans” matter in simulation

30:47 Tipping points: factories, warehouses, robotaxis, and humanoids

35:46 Wrap-up and final thoughts