cs.RO(2024-08-05)

📊 共 11 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) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱九:具身大模型 (Embodied Foundation Models) (1) 支柱八:物理动画 (Physics-based Animation) (1 🔗1) 支柱五:交互与反应 (Interaction & Reaction) (1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (5 篇)

#题目一句话要点标签🔗
1 Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion 结合模型预测与强化学习,实现动态腿足机器人运动控制 legged locomotion humanoid locomotion
2 Self-Centering 3-DoF Feet Controller for Hands-Free Locomotion Control in Telepresence and Virtual Reality 提出一种自定心的3自由度脚部控制器,用于远程呈现和虚拟现实中的免手持运动控制 locomotion manipulation
3 Mastering Agile Jumping Skills from Simple Practices with Iterative Learning Control 提出基于迭代学习控制的敏捷跳跃技能学习方法,解决腿足机器人精确跳跃难题 legged robot legged locomotion locomotion
4 RoPotter: Toward Robotic Pottery and Deformable Object Manipulation with Structural Priors RoPotter:利用结构先验实现机器人制陶和柔性物体操作 manipulation
5 Large-scale Deployment of Vision-based Tactile Sensors on Multi-fingered Grippers 提出一种适用于多指灵巧手的视觉触觉传感器大规模部署方案 manipulation

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
6 Context-aware Mamba-based Reinforcement Learning for social robot navigation 提出基于上下文感知的Mamba强化学习方法CAMRL,用于社交机器人导航。 reinforcement learning deep reinforcement learning Mamba
7 Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation 提出不确定性感知的语义分割,提升具身智能在物体搜索任务中的表现 policy learning embodied AI

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
8 Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph 提出EventNav框架,利用事件知识图谱增强粗粒度视觉语言导航任务规划。 embodied AI VLN large language model

🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗
9 RIs-Calib: An Open-Source Spatiotemporal Calibrator for Multiple 3D Radars and IMUs Based on Continuous-Time Estimation 提出RIs-Calib,一种基于连续时间估计的多雷达-IMU时空标定方法。 spatiotemporal

🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)

#题目一句话要点标签🔗
10 Integrating a Digital Twin Concept in the Zero Emission Sea Transporter (ZEST) Project for Sustainable Maritime Transport using Stonefish Simulator ZEST项目:利用Stonefish模拟器,为可持续航运集成数字孪生概念。 IMoS

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
11 VL-TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments VL-TGS:利用视觉语言模型在无地图户外环境中生成和选择轨迹 traversability

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