Research map / Vision-language and multimodal / Robot action and navigation
Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Language-Conditioned Imitation Learning for Robot Manipulation Tasks (NeurIPS 2020 · similarity 0.91)
- Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents (NeurIPS 2025 · similarity 0.90)
- Language-Grounded Decoupled Action Representation for Robotic Manipulation (CVPR 2026 · similarity 0.89)
- Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation (ICML 2026 · similarity 0.89)
- Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models (NeurIPS 2026 · similarity 0.89)
- NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models (NeurIPS 2026 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
