Dialogue with OpenMind Founder: After Securing $20 Million Investment from Pantera, Sequoia, and Others, How Far Has the Robot 'Android' System Come?
marsbitPublished on 2026-01-26Last updated on 2026-01-26
Abstract
Jan Liphardt, founder of OpenMind and a Stanford and UC Berkeley professor, discusses his vision to build a decentralized "Android-like" operating system for robots. After raising $20 million from investors like Pantera Capital and Sequoia China, OpenMind aims to solve fragmentation in the robotics industry, where over 150 hardware vendors operate in isolation with software focused only on mechanical control.
OpenMind’s core includes the open-source robot operating system OM1 and the decentralized FABRIC protocol. OM1 enables individual robot intelligence, while FABRIC facilitates secure machine-to-machine and human-machine collaboration, identity verification, and micro-transactions. The system has attracted thousands of developers on GitHub and is being integrated with leading Chinese robotics firms like Unitree, Astribot, and Ubtech.
A key milestone is the development of a robot application store, with the first app already launched. OpenMind’s enhanced robot dog can recognize owners, map environments, remember objects, answer questions, and monitor home safety. Liphardt emphasizes the role of blockchain in enabling global governance, immutable record-keeping, and machine-economy transactions.
He sees near-term adoption in homes, schools, and workplaces by 2026, with challenges including hardware reliability, adaptive real-world performance, and safe AI behavior. OpenMind’s long-term goal is to develop "social models" for robots that are transparent, open-source, and pr...
Guest: Jan Liphardt, Founder of OpenMind
Interview Compiled by: momo, ChainCatcher
After decades of research and teaching at Stanford University and the University of California, Berkeley, Jan Liphardt, an associate professor of physics and bioengineering, keenly observed that a profound structural transformation was underway in the field of robotics.
On one hand, robots are accelerating their move from laboratories and factories into real-world scenarios, but their "brains" remain fragmented and closed. Over 150 hardware manufacturers operate in silos, mainstream software is still stuck at the level of mechanical control, systems struggle to collaborate, and natural human-robot interaction, let alone value exchange between machines, is far from realized.
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