cs.RO(2026-04-17)
📊 共 10 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (5)
支柱九:具身大模型 (Embodied Foundation Models) (2)
支柱三:空间感知与语义 (Perception & Semantics) (1 🔗1)
支柱二:RL算法与架构 (RL & Architecture) (1)
支柱四:生成式动作 (Generative Motion) (1)
🔬 支柱一:机器人控制 (Robot Control) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation | VADF:视觉自适应扩散策略框架,提升机器人操作效率 | manipulation diffusion policy | ||
| 2 | From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation | 提出基于数字孪生的生成式高保真仿真框架,提升机器人学习的泛化能力 | manipulation sim-to-real | ||
| 3 | DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs | DENALI:利用低成本激光雷达实现非视距空间推理的数据集 | sim-to-real | ||
| 4 | A Reconfigurable Pneumatic Joint Enabling Localized Selective Stiffening and Shape Locking in Vine-Inspired Robots | 提出可重构气动关节,实现仿生软体机器人局部选择性刚度和形状锁定 | manipulation | ||
| 5 | Limits of Lamarckian Evolution Under Pressure of Morphological Novelty | 研究揭示了形态新颖性压力下,拉马克进化在机器人形态-控制器协同进化中的局限性。 | locomotion |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Long-Term Memory for VLA-based Agents in Open-World Task Execution | 提出ChemBot以解决化学实验中的长时记忆与决策问题 | vision-language-action VLA | ||
| 7 | Semantic Area Graph Reasoning for Multi-Robot Language-Guided Search | 提出SAGR框架,利用LLM进行多机器人语义区域图推理,提升复杂环境下的目标搜索效率。 | large language model |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow | GaussianFlow SLAM:利用光流引导的单目高斯溅射SLAM | 3DGS gaussian splatting splatting | ✅ |
🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS) | 提出基于模糊逻辑的自适应奖励塑造方法,提升强化学习在复杂导航任务中的鲁棒性 | reinforcement learning reward design reward shaping |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | Contact-Aware Planning and Control of Continuum Robots in Highly Constrained Environments | 提出接触感知规划与控制方法,解决连续体机器人在复杂约束环境下的导航问题。 | contact-aware |