LiMA: Bridging Long-term Imagination to Real-time Dexterous Manipulation via Asynchronous Diffusion
cs.RO
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World
- DexVLG: Dexterous Vision-Language-Grasp Model at Scale
- Towards a Unified Understanding of Robot Manipulation: A Comprehensive Survey
- EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
- Action100M: A Large-scale Video Action Dataset
- EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos
- Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization
- EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
- METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model
- In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data
- Octo: An Open-Source Generalist Robot Policy
- WoW: Towards a World omniscient World model Through Embodied Interaction
- World Models for Learning Dexterous Hand-Object Interactions from Human Videos
- Video2Act: A Dual-System Video Diffusion Policy with Robotic Spatio-Motional Modeling
- Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
- Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
- Causal World Modeling for Robot Control
- World Action Models are Zero-shot Policies
- RynnVLA-002: A Unified Vision-Language-Action and World Model
- InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
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