TEAM
A 10-person team with deep experience across robotics, multimodal AI, embedded systems, and world models - built to turn robot reasoning into a shipped product.
10
person team
26
average age
Top labs
AI & robotics
30+
top-venue papers
Founder
Lambert has been building and competing in robotics since 2008, developing physical machines that reason about the world. He combines deep technical intuition for real robots with systems-level AI training and hardware manufacturing access.
Founder & CEO
Conducting robotic competition since 2008
Build a robot that communicates and interacts with people the way another person would.
PhD EE
4x RoboCup Junior World Champion: 2012, 2013, 2014, 2016
20+ national robotics competition awards
Nearly two decades of real-robot intuition
Entrepreneurial family / deep hardware supply-chain network
Technical leadership
Multimodal models, world models, embodied reasoning, and real physical environments.
Co-Founder
M.S. Harvard, MIT Media Lab.
World-leading expert in multi-modality models.
Technical Advisor
MIT EECS / Media Lab Professor.
Leading professor from Multisensory Intelligence Group.
Robotic / LLM Expert
MIT & Harvard postdoc. PhD CS, Oxford
World-leading 4D vision & world-model researcher.
Engineering bench
CyberBrain's extended team covers embedded systems, LLM safety, 3D vision, dexterous manipulation, robotics AI, multimodal LLMs, and computer engineering.
Andrew Hoang - Founding engineer · Embedded systems
Tim - Columbia · OSU PhD · LLM safety
Rio - Brown · UCSD PhD · 3D vision & dexterous manipulation
Nan - Tsinghua PhD · Robotics & AI
Tina - Duke · MIT researcher · Multimodal LLM
Victor Xiao - M.S. CE · Embedded engineering
Why this team
CyberBrain sits at the intersection of frontier AI and physical machines.
Robots fail in the physical world for reasons that do not appear in software benchmarks. CyberBrain is led by people who have built and competed with real machines for years.
The system depends on language, vision, audio, spatial reasoning, and world models working together - exactly the kind of AI expertise represented across the team.
CyberBrain is not only a model. It must run through sensors, controllers, actuators, and deployable hardware. The team includes embedded and hardware systems experience.
The team combines top-lab research credibility with the urgency to ship a developer platform and real robot product.
30+ top-venue papers across AI, robotics, multimodal learning, vision, and embodied intelligence.
CyberBrain is built by a team that understands both frontier AI and physical machines - the two halves needed to make general-purpose robots real.