Pelican-Sim 1.0: A General World Model Simulator for Embodied Intelligence
Bridging the gap between predictive world modeling and real-world robotic decision-making.
In this technical report, we propose Pelican-Sim 1.0, a general world model simulator for embodied intelligence that predicts future observations from visual context and robot actions to support downstream learning and decision making. The model incorporates four key design featu...
ArXiv CS.RO
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Pelican-Sim 1.0 represents a significant leap in embodied AI by enabling robots to predict future visual states from complex actions rather than relying solely on static datasets. This advancement bridges the gap between simulated environments and real-world deployment by fostering more robust decision-making frameworks for autonomous agents.
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