cs.RO(2026-02-12)
📊 共 23 篇论文 | 🔗 6 篇有代码
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (16 🔗5)
支柱二:RL算法与架构 (RL & Architecture) (5 🔗1)
支柱三:空间感知与语义 (Perception & Semantics) (2)
🔬 支柱一:机器人控制 (Robot Control) (16 篇)
🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 17 | ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation | ABot-N0:用于多功能具身导航的VLA基础模型,实现跨任务统一。 | flow matching vision-language-action VLA | ||
| 18 | Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment | 提出CoVer:通过验证而非策略学习提升视觉-语言-动作对齐效果 | policy learning vision-language-action VLA | ||
| 19 | LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion | LDA-1B:通过通用具身数据摄取扩展潜在动力学行为模型 | behavior cloning world model latent dynamics | ||
| 20 | Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks | AHAT:可扩展的家庭机器人长程任务规划框架 | reinforcement learning large language model language conditioned | ||
| 21 | AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination | 提出AC-MASAC框架,解决异构无人机集群协同中的非对称依赖和训练难题。 | reinforcement learning curriculum learning | ✅ |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 22 | Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning | 提出基于可供性图的任务世界,用于可扩展具身学习的自进化任务生成。 | affordance | ||
| 23 | LAMP: Implicit Language Map for Robot Navigation | LAMP:用于机器人导航的隐式语言地图,实现高效精细的路径规划 | implicit representation |