HarnessWAM: Bridging Prediction and Deliberation in World Action Models
cs.RO
Submitted: 2026-08-10
Updated: 2026-10-10
Terminology
Sources
- Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
- RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents
- RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
- Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
- Inner Monologue: Embodied Reasoning through Planning with Language Models
- VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- OpenVLA: An Open-Source Vision-Language-Action Model
- RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark
- Causal World Modeling for Robot Control
- Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
- SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
- HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation
- MemoryWAM: Efficient World Action Modeling with Persistent Memory
- World Action Models are Zero-shot Policies
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
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