cs.RO（2024-10-23）

📊 共 13 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation SPIRE：结合规划、模仿和强化学习，解决长时程机器人操作任务 manipulation motion planning reinforcement learning
2 X-MOBILITY: End-To-End Generalizable Navigation via World Modeling X-Mobility：基于世界建模的端到端通用导航模型，实现零样本Sim2Real迁移。 sim2real policy learning world model
3 GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy GenDP：利用3D语义场提升扩散策略在类别级操作任务中的泛化能力 manipulation diffusion policy
4 Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans 提出基于螺旋几何与多臂老虎机的增量式示教学习方法，用于生成机器人操作规划。 manipulation
5 Multi-layered Safety of Redundant Robot Manipulators via Task-oriented Planning and Control 提出面向任务的多层安全冗余机器人操作臂规划与控制框架 manipulation MPC model predictive control
6 Generalizable Motion Planning via Operator Learning 提出规划神经算子(PNO)以解决运动规划中的泛化性问题 motion planning
7 Reconfigurable hydrostatics: Toward versatile and efficient load-bearing robotics 提出可重构静液压驱动器，用于多功能、高效的负载机器人 legged robot
8 Gaussian Process Distance Fields Obstacle and Ground Constraints for Safe Navigation 提出基于高斯过程距离场的导航方法，解决复杂环境下移动机器人的安全路径规划问题 legged robot
9 Mechanisms and Computational Design of Multi-Modal End-Effector with Force Sensing using Gated Networks 提出一种基于门控网络的多模态末端执行器，具备力觉感知能力，适用于腿式机器人。 locomotion

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
10 Integrating Large Language Models for UAV Control in Simulated Environments: A Modular Interaction Approach 提出一种模块化交互方法，将大型语言模型集成到无人机控制的仿真环境中 large language model
11 Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads 提出基于分布式数据库和多模态感知的V2V实时协同控制系统，提升十字路口交通效率。 multimodal

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
12 Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models 提出NILS，利用Foundation Model零样本自动标注大规模机器人数据，提升策略学习。 policy learning foundation model

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

#题目一句话要点标签🔗⭐
13 Towards Safer Planetary Exploration: A Hybrid Architecture for Terrain Traversability Analysis in Mars Rovers 提出一种火星车地形 traversability 混合架构，融合外观和几何信息以提升安全性。 traversability

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