We are building the foundational world models that enable robots to understand, reason about, and interact with the physical world.
Explore Our ResearchAt ArkTensor, we believe the next frontier of artificial intelligence lies in bridging the gap between digital intelligence and physical reality. Our team is dedicated to developing world models that give robots a deep, intuitive understanding of their environment, enabling them to learn, adapt, and act in the real world with unprecedented capability.
Our research centers on developing world models: internal representations that allow robots to simulate, predict, and plan in complex physical environments.
Building neural world models that capture the physics, geometry, and dynamics of real-world environments, enabling robots to predict the outcome of their actions before execution.
Developing architectures that allow robots to reason spatially and temporally, understanding object permanence, causal relationships, and long-horizon task planning.
Creating self-improving systems that continuously refine their world models from real-world interaction data, closing the loop between simulation and reality.
We envision a world where robots possess a deep understanding of physical reality, where machines don't just follow instructions, but truly comprehend the world they inhabit.
We're looking for exceptional researchers and engineers who share our passion for building the future of robotics.
contact@arktensor.com