Odyssey

Founded by Oliver Cameron in 2023

Simulate interactive physical and virtual environments to train robots and autonomous systems

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You can use Odyssey to simulate physical and virtual environments for training autonomous systems and robots. The system learns real-world physics, dynamics, and cause-and-effect relationships to predict future outcomes accurately. Through foundation models like Odyssey-3 and Agora-2, developers can generate interactive multi-agent simulations where humans and artificial agents interact simultaneously in real time. It serves as an underlying engine to test behaviors for robotics, self-driving vehicles, drones, and video games without relying solely on expensive and hazardous real-world field testing.

What Odyssey does

Simulate dynamic physical interactions between objectsTrain autonomous vehicle control policiesGenerate interactive virtual test environmentsEvaluate multi-agent reinforcement learning modelsPredict future physical states based on agent actionsSimulate humanoid robot movement and balanceTest drone flight maneuvers in complex terrainPhysics-based predictive simulation of dynamic environmentsOdyssey-3 foundation world model for virtual and physical systemsAgora-2 real-time shared multi-agent simulationPROWL-2 continual reinforcement learning frameworkInteractive cause-and-effect action modelingUnified foundation model powering robotics, drones, and self-driving systemsStarchild-1 multimodal interaction learning architecture