cs.RO(2025-03-16)
📊 共 9 篇论文 | 🔗 5 篇有代码
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (3 🔗2)
支柱二:RL算法与架构 (RL & Architecture) (3 🔗2)
支柱七:动作重定向 (Motion Retargeting) (1 🔗1)
支柱八:物理动画 (Physics-based Animation) (1)
支柱六:视频提取与匹配 (Video Extraction) (1)
🔬 支柱一:机器人控制 (Robot Control) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning | EmoBipedNav:提出一种基于深度强化学习的情感感知双足机器人社交导航框架 | bipedal biped locomotion | ✅ | |
| 2 | Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills | 提出Being-0以解决人形机器人任务执行中的效率与鲁棒性问题 | humanoid humanoid robot locomotion | ✅ | |
| 3 | Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots | 提出基于生物启发塑性神经网络,实现复杂机器人零样本OOD泛化 | legged locomotion locomotion sim-to-real |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition | 提出模态可组合扩散策略,实现推理时分布级组合,提升策略泛化性 | diffusion policy cross-embodiment multimodal | ✅ | |
| 5 | Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes | 提出Purpose-Directed OEL,通过用户目的引导机器人开放式强化学习。 | reinforcement learning large language model | ||
| 6 | TERL: Large-Scale Multi-Target Encirclement Using Transformer-Enhanced Reinforcement Learning | 提出TERL,利用Transformer增强强化学习解决大规模多目标围捕问题 | reinforcement learning | ✅ |
🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility | VISO-Grasp:利用视觉-语言信息在严重遮挡下进行6自由度主动视图规划和抓取 | spatial relationship foundation model | ✅ |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction | 提出CDKFormer,利用上下文偏差知识增强Transformer,解决长尾轨迹预测问题。 | spatiotemporal multimodal |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | Histogram Transporter: Learning Rotation-Equivariant Orientation Histograms for High-Precision Robotic Kitting | 提出Histogram Transporter,解决机器人装配中高精度、高效率的物体抓取与放置问题 | feature matching |