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HAIC · ldt29
HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
World modelsTHE EMBODIED AI DIRECTORY
Explore predictive and generative world-model resources for physical AI and robot planning.
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HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
World models
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Official Implementation of "Kinema4D: Kinematic4D World Modeling for Spatiotemporal Embodied Simulation"
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LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation
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Source codes for the paper "MindJourney: Test-Time Scaling with World Models for Spatial Reasoning"
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MotuBrain: An Advanced World Action Model for Robot Control
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Official implementation of NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments (ICCV'25).
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OpenDW provides an action-conditioned world-model project for embodied intelligence.
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Official code for "OpenWAM: An Open Framework for Composable World-Action Models" (Stanford University)
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PointWorld studies 3D world models for robotic manipulation.
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RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation
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repository for training action-conditioned latent diffusion world models for robot video generation
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Offical implementation of ICLR'26 paper "Empowering Multi-Robot Cooperation via Sequential World Models"
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UnifoLM-WMA-0: A World-Model-Action (WMA) Framework under UnifoLM Family
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WAVE-Go: Go2-W world-model action adaptation, verified mapless charging, and Cosmos3-Edge hybrid long-range navigation demos
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WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation
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WoW (World-Omniscient World Model) is a generative world model trained on 2 million robotic interaction trajectories, designed to imagine, reason, and act in the physical world. Unlike passive…
World modelsSELECTION NOTES
Distinguish generated visual futures from validated physical dynamics. Review conditioning inputs, rollout horizon and evaluation protocols before treating predictions as executable plans.
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