cs.RO（2024-09-20）

📊 共 26 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (18 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (7) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (18 篇)

#题目一句话要点标签🔗⭐
1 SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience SoloParkour：基于特权经验的约束强化学习用于四足机器人视觉运动 quadruped legged robot locomotion
2 PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers PrefMMT：利用多模态Transformer建模基于偏好的强化学习中的人类偏好 locomotion manipulation reinforcement learning
3 Hey Robot! Personalizing Robot Navigation through Model Predictive Control with a Large Language Model 提出基于大语言模型的MPC个性化机器人导航方法 model predictive control large language model
4 Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior MR HuBo：利用人体先验知识，重定义运动重定向的数据配对方法 humanoid humanoid robot motion retargeting
5 Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators 提出基于并行物理模拟器的增量式少样本非抓取操作自适应方法 manipulation MPC world model
6 Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation 提出基于LLM的BETR-XP-LLM方法，自动扩展行为树以增强机器人操作能力 manipulation large language model
7 Model Predictive Control For Multiple Castaway Tracking with an Autonomous Aerial Agent 提出基于模型预测控制的无人机搜救框架，用于多目标落水者追踪 MPC model predictive control
8 ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning ProxFly：基于残差强化学习的四旋翼近距离飞行鲁棒控制 domain randomization reinforcement learning deep reinforcement learning ✅
9 Subassembly to Full Assembly: Effective Assembly Sequence Planning through Graph-based Reinforcement Learning 提出基于图强化学习的S2A框架，解决机器人复杂装配序列规划问题 manipulation reinforcement learning
10 Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations 提出协作分布式模型预测控制以解决水翼船编队问题 model predictive control
11 Universal-jointed Tendon-driven Continuum Robot: Design, Kinematic Modeling, and Locomotion in Narrow Tubes 提出基于万向节的腱驱动连续体机器人设计与运动学建模方法，用于狭窄管道内运动。 locomotion
12 Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach 提出基于数据驱动预测安全滤波器的可微预测控制，提升机器人控制效率与安全性 MPC model predictive control
13 Admittance Control-based Floating Base Reaction Mitigation for Limbed Climbing Robots 针对攀爬机器人，提出基于导纳控制的浮动基座反作用力抑制方法 locomotion manipulation
14 MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety MAGICS：基于隐式Critic Stackelberg博弈的对抗RL，实现机器人安全控制的收敛神经合成 quadruped reinforcement learning
15 Neural Configuration Distance Function for Continuum Robot Control 提出神经配置距离函数以解决连续机器人控制问题 motion planning
16 Key-Scan-Based Mobile Robot Navigation: Integrated Mapping, Planning, and Control using Graphs of Scan Regions 提出基于关键扫描的移动机器人导航框架，实现未知环境下的集成地图构建、规划与控制 motion planning
17 RainbowSight: A Family of Generalizable, Curved, Camera-Based Tactile Sensors For Shape Reconstruction RainbowSight：一种通用型曲面相机触觉传感器，用于形状重建 manipulation
18 Co-Optimization of Tool Orientations, Kinematic Redundancy, and Waypoint Timing for Robot-Assisted Manufacturing 提出一种并发可扩展的轨迹优化方法，用于提升机器人辅助制造质量。 trajectory optimization

🔬 支柱二：RL算法与架构 (RL & Architecture) (7 篇)

#题目一句话要点标签🔗⭐
19 Personalization in Human-Robot Interaction through Preference-based Action Representation Learning 提出基于偏好的动作表征学习方法，高效实现人机交互中的个性化策略调整 reinforcement learning representation learning
20 An Efficient Multi-Robot Arm Coordination Strategy for Pick-and-Place Tasks using Reinforcement Learning 提出基于强化学习的多机器人臂协同策略，用于提升分拣任务效率。 reinforcement learning deep reinforcement learning
21 Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input 提出基于自然语言输入的分层学习以改善搜索与救援中的信息收集 reinforcement learning large language model
22 Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments 提出一种因果强化学习方法，用于优化未知环境中机器人动力学 reinforcement learning
23 Adaptive Task Allocation in Multi-Human Multi-Robot Teams under Team Heterogeneity and Dynamic Information Uncertainty 提出ATA-HRL框架，解决异构人机协作团队中动态不确定性下的自适应任务分配问题 reinforcement learning representation learning
24 OLiVia-Nav: An Online Lifelong Vision Language Approach for Mobile Robot Social Navigation 提出OLiVia-Nav，用于移动机器人在社会环境中进行终身视觉语言导航。 DRL distillation
25 Guaranteed Reach-Avoid for Black-Box Systems through Narrow Gaps via Neural Network Reachability 提出NeuralPARC，通过神经网络可达性分析解决黑盒系统狭窄间隙中的Reach-Avoid问题 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🔗⭐
26 SiSCo: Signal Synthesis for Effective Human-Robot Communication Via Large Language Models SiSCo：利用大语言模型合成信号，实现有效的人机通信 large language model

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