cs.RO（2025-05-24）

📊 共 13 篇论文 | 🔗 4 篇有代码

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支柱一：机器人控制 (Robot Control) (12 🔗4) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (12 篇)

#题目一句话要点标签🔗⭐
1 VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning 提出VLA-RL以解决机器人操作中的数据稀缺问题 manipulation reinforcement learning vision-language-action
2 One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion 提出DreamPolicy以解决人形机器人运动的可扩展性问题 humanoid humanoid control humanoid locomotion
3 YOPO-Rally: A Sim-to-Real Single-Stage Planner for Off-Road Terrain 提出YOPO-Rally以解决越野地形导航问题 sim-to-real MPC behavior cloning
4 Mobile Manipulation Planning for Tabletop Rearrangement 提出高效移动操控规划以解决桌面重排问题 manipulation mobile manipulation
5 ManiFeel: Benchmarking and Understanding Visuotactile Manipulation Policy Learning 提出ManiFeel以解决视觉触觉操控策略学习的基准问题 manipulation policy learning ✅
6 DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Large-Scale Datasets 提出DiffusionRL以解决机器人抓取中的数据限制问题 manipulation dexterous manipulation reinforcement learning
7 Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance 提出Genie Centurion以解决机器人训练数据收集效率低下问题 teleoperation vision-language-action VLA
8 Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning 提出ICon方法以提升机器人操作中的视觉表示学习效率 manipulation policy learning contrastive learning ✅
9 S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving 提出S2R-Bench以解决自动驾驶感知算法评估问题 sim-to-real ✅
10 Canonical Policy: Learning Canonical 3D Representation for SE(3)-Equivariant Policy 提出规范策略以解决3D等变模仿学习问题 manipulation policy learning imitation learning ✅
11 Coordinated guidance and control for multiple parafoil system landing 提出协调引导与控制方法以解决多伞翼系统着陆问题 model predictive control trajectory optimization
12 On the Dual-Use Dilemma in Physical Reasoning and Force 提出双重使用困境的解决方案以优化物理推理与力的应用 manipulation

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

#题目一句话要点标签🔗⭐
13 Applying Ontologies and Knowledge Augmented Large Language Models to Industrial Automation: A Decision-Making Guidance for Achieving Human-Robot Collaboration in Industry 5.0 提出决策指导以优化工业5.0中的人机协作 large language model

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