arXiv (OAI Expanded)
open access
Open-UniMo: Towards Unified Motion-Language Understanding and Generation in the Open World
Unified motion generation and understanding is crucial for embodied AI systems that can both synthesize and interpret human actions in open-world environments. Existing motion-language models often treat motion as an auxiliary modality of a language model, leading to text-dominated representations a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- UniMo: Unifying Human and Animal Motion Generation#1000299
- ActionGround: Training-Free Runtime Refinement of Frozen VLA Policies#1117968
- A Sim-to-Real Integration Pipeline for Training and Deployment of Chunk-Based VLA Manipulation Policies#1036206
- MoVT: Video-Augmented Motion Tokenizer for Text-to-Motion Generation#1084869
- WayFinder: Hierarchical Visual-Language-Action for Zero-Shot Waypoint Generation and Low-Level Kinematic Control#1142227
Record · ID 1084556
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive