cs.RO(2023-11-27)
📊 共 10 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (3)
支柱二:RL算法与架构 (RL & Architecture) (3)
支柱三:空间感知与语义 (Perception & Semantics) (2 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (1)
支柱四:生成式动作 (Generative Motion) (1 🔗1)
🔬 支柱一:机器人控制 (Robot Control) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Learning Multimodal Latent Dynamics for Human-Robot Interaction | 提出多模态潜在动态学习方法以优化人机交互 | humanoid humanoid robot bi-manual | ||
| 2 | RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks | 提出RoboGPT以解决机器人长期决策和任务规划问题 | manipulation large language model | ||
| 3 | On Bringing Robots Home | 提出Dobb-E以解决家庭机器人通用性不足问题 | manipulation |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy | 提出时间转移学习以优化交通流量问题 | reinforcement learning deep reinforcement learning zero-shot transfer | ||
| 5 | Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation | 提出辅助任务与图神经网络以提升自主导航性能 | reinforcement learning deep reinforcement learning DRL | ||
| 6 | Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes | 提出个性化价值对齐以提升人机交互中的信任与团队表现 | reinforcement learning inverse reinforcement learning |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Towards Designing Spatial Robots that are Architecturally Motivated | 提出建筑驱动的空间机器人设计方法以改善人机交互 | affordance | ||
| 8 | A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation | 综述单目重定位中的场景地图表示方法以解决现有研究不足 | semantic map | ✅ |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | Modular Customizable ROS-Based Framework for Rapid Development of Social Robots | 提出模块化可定制的ROS框架以加速社交机器人开发 | multimodal |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models | 提出SceneDM以解决多智能体轨迹生成一致性问题 | motion diffusion | ✅ |