Building Omnibody Intelligence
Our public thesis on shared intelligence, world models, and adaptation across different bodies, tasks, and environments.
Read articleHumanXAI / Physical Intelligence
HumanXAI is developing world-model-based intelligence designed to understand, remember, reason, and act across different robotic embodiments.
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Research thesis / 01
Digital intelligence reasons about representations. Physical intelligence must also understand time, uncertainty, consequence, and action.
Represent what matters in dynamic environments without assuming the world is clean or complete.
Retain useful context across time so decisions can account for what came before.
Anticipate consequences and choose actions toward a goal under uncertainty.
Research representations intended to carry useful knowledge across different bodies and sensors.
Develop systems designed to act within clear operational and safety boundaries.
Research direction / 02
HumanXAI is researching shared representations that can carry useful knowledge across different bodies, sensors, and physical environments.
View the hero visualizationWhy this matters / 03
Different bodies should not require entirely separate intelligence.
Physical systems need memory and world understanding, not only immediate reactions.
Reliable autonomy must account for uncertainty, safety, and changing environments.
Focus / 04
Areas where reliable, adaptive intelligence may create meaningful value. This is a research horizon, not a statement of active deployment.
Updates / 05
Our public thesis on shared intelligence, world models, and adaptation across different bodies, tasks, and environments.
Read articleCareers / 06
We are building a small, senior team for difficult research and engineering work.
Partnerships / 07
HumanXAI works with research teams, robot makers, industrial organizations, and long-term technical partners.
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