cs.RO（2024-05-27）

📊 共 13 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7) 支柱三：空间感知与语义 (Perception & Semantics) (2) 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)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains 提出一种融合强化学习与模型预测控制的人形机器人地形自适应运动方法 quadruped humanoid humanoid robot
2 Harnessing Natural Oscillations for High-Speed, Efficient Asymmetrical Locomotion in Quadrupedal Robots 利用自然振荡，实现四足机器人高效、高速非对称步态 quadruped locomotion
3 Socially-Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment 提出基于社交感知的共享控制导航系统，提升辅助机器人在复杂环境中的自主性和安全性。 MPC model predictive control shared control
4 Interpretable Robotic Manipulation from Language 提出Ex-PERACT，一种利用自然语言增强机器人操作任务学习的可解释行为克隆Agent。 manipulation behavior cloning
5 Improving Robotic Arms through Natural Language Processing, Computer Vision, and Edge Computing 提出一种融合NLP、视觉和边缘计算的机器人手臂控制方法 manipulation large language model
6 Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation 提出基于结构图网络的强化学习方法，解决低保真模拟器中约束机器人人群导航问题 sim2real reinforcement learning
7 Motion Primitives Planning For Center-Articulated Vehicles 针对中心铰接车辆，提出基于运动原语的规划方法，提升非结构化环境导航性能。 motion planning

🔬 支柱三：空间感知与语义 (Perception & Semantics) (2 篇)

#题目一句话要点标签🔗⭐
8 CudaSIFT-SLAM: multiple-map visual SLAM for full procedure mapping in real human endoscopy CudaSIFT-SLAM：用于真实人体内窥镜全流程建图的多地图视觉SLAM系统 visual SLAM
9 Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning 提出Adaptive VIO，结合在线持续学习的深度视觉惯性里程计，提升泛化能力。 VIO

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

#题目一句话要点标签🔗⭐
10 Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL Ego-Foresight：通过自监督学习Agent-Aware表征提升强化学习效率 reinforcement learning deep reinforcement learning
11 Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations YamaS：基于Unity3D的高保真机器人仿真平台，促进移动机器人行为生成研究 reinforcement learning deep reinforcement learning

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

#题目一句话要点标签🔗⭐
12 Deployment of Large Language Models to Control Mobile Robots at the Edge 边缘端部署大语言模型控制移动机器人，探索离线人机交互 large language model

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

#题目一句话要点标签🔗⭐
13 EF-Calib: Spatiotemporal Calibration of Event- and Frame-Based Cameras Using Continuous-Time Trajectories EF-Calib：提出基于连续时间轨迹的事件相机与帧相机的时空标定方法 spatiotemporal ✅

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