cs.RO（2025-03-19）

📊 共 19 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9) 支柱二：RL算法与架构 (RL & Architecture) (6 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (3) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 StyleLoco: Generative Adversarial Distillation for Natural Humanoid Robot Locomotion StyleLoco：基于生成对抗蒸馏的自然人形机器人运动控制 humanoid humanoid robot humanoid locomotion
2 Online Imitation Learning for Manipulation via Decaying Relative Correction through Teleoperation 提出基于衰减相对校正的在线模仿学习方法，提升遥操作机器人操作性能 manipulation teleoperation imitation learning
3 Volumetric Reconstruction From Partial Views for Task-Oriented Grasping 提出基于R-GAN和PPO的抓取策略学习方法，用于从局部视图进行面向任务的体积重建抓取。 manipulation mobile manipulation dual-arm
4 CCDP: Composition of Conditional Diffusion Policies with Guided Sampling CCDP：结合引导采样的条件扩散策略组合，提升模仿学习的容错性 manipulation imitation learning diffusion policy
5 Learning to Play Piano in the Real World 提出基于Sim2Real的钢琴演奏机器人学习系统，实现真实世界钢琴演奏 manipulation sim2real domain randomization
6 Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset 提出IERTC*算法，通过经验泛化提升复杂环境运动规划的成功率和效率。 motion planning
7 Friction-Scaled Vibrotactile Feedback for Real-Time Slip Detection in Manipulation using Robotic Sixth Finger 提出摩擦力感知的振动触觉反馈，用于机器人第六指操作中的实时滑移检测。 manipulation
8 Geometrically-Aware One-Shot Skill Transfer of Category-Level Objects 提出一种几何感知的单样本物体操作技能迁移框架，解决机器人对类别级物体的操作难题。 manipulation
9 Modeling, Embedded Control and Design of Soft Robots using a Learned Condensed FEM Model 提出基于学习的精简有限元模型，用于软体机器人的建模、嵌入式控制与设计 manipulation

🔬 支柱二：RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗⭐
10 Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning 提出奖励训练轮（RTW）框架，自适应调整辅助奖励以提升机器人强化学习效果 reinforcement learning teacher-student
11 Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning 提出基于自监督强化学习的神经Lyapunov函数近似方法，提升非线性系统控制性能。 reinforcement learning world model ✅
12 HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation HAD-Gen：提出类人且多样化的驾驶行为建模方法，用于可控场景生成。 reinforcement learning offline reinforcement learning imitation learning ✅
13 Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition 基于强化学习的鲁棒运动智能：第二届RealAIGym'AI奥林匹克竞赛经验 reinforcement learning
14 A Comparative Study of Human Motion Models in Reinforcement Learning Algorithms for Social Robot Navigation 对比研究速度与力模型，提升强化学习在社交机器人导航中的性能 reinforcement learning
15 Robotic Paper Wrapping by Learning Force Control 提出结合模仿学习与强化学习的机器人力控包装方法，解决柔性物体包装难题。 reinforcement learning imitation learning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗⭐
16 Safety Aware Task Planning via Large Language Models in Robotics 提出SAFER框架，通过多LLM协同与控制屏障函数，提升机器人任务规划的安全性。 large language model
17 Intelligent Spatial Perception by Building Hierarchical 3D Scene Graphs for Indoor Scenarios with the Help of LLMs 利用LLM构建分层3D场景图，实现室内环境智能空间感知 large language model
18 SemanticScanpath: Combining Gaze and Speech for Situated Human-Robot Interaction Using LLMs SemanticScanpath：结合视线和语音，利用LLM实现情境化人机交互 large language model

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
19 Sensorized gripper for human demonstrations 提出一种基于传感器 Gripper 的人机示教方法，用于箱中箱组装任务。 motion generation

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