cs.RO（2024-05-29）

📊 共 14 篇论文 | 🔗 3 篇有代码

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支柱一：机器人控制 (Robot Control) (10 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (3 🔗1) 支柱五：交互与反应 (Interaction & Reaction) (1)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand Tilde：利用DeltaHand进行灵巧手内操作学习的遥操作系统 manipulation dexterous manipulation in-hand manipulation
2 Data-Efficient Approach to Humanoid Control via Fine-Tuning a Pre-Trained GPT on Action Data 提出基于GPT微调的人形控制方法，提升数据效率与运动真实性 humanoid humanoid control reinforcement learning
3 Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks 提出BRMData：一个用于家庭任务的双臂移动机器人操作数据集，并提出操作效率评分标准。 manipulation mobile manipulation bi-manual ✅
4 Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion 提出Gaitor以解决四足机器人运动模式统一表示问题 quadruped locomotion ANYmal
5 Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels 提出基于连续性的修正标签模仿学习方法，提升机械臂精细操作的数据效率。 manipulation imitation learning behavior cloning
6 Development of a Novel Impedance-Controlled Quasi-Direct-Drive Robotic Hand 提出一种新型阻抗控制准直驱机械手，适用于非结构化环境交互 manipulation dexterous manipulation in-hand manipulation
7 Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation 提出基于目标条件GPT决策Transformer的多目标跨任务学习框架，用于手术机器人任务自动化。 manipulation decision transformer ✅
8 DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots DiPPeST：基于扩散模型的四足机器人轨迹生成与路径规划 quadruped
9 Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach 提出神经符号方法以解决机器人操作中的计划执行错误恢复问题 manipulation
10 Exploring Probabilistic Distance Fields in Robotics 提出基于高斯过程的概率距离场（GPDF），为机器人任务提供统一表示。 motion planning spatial relationship

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
11 Conditional Latent ODEs for Motion Prediction in Autonomous Driving 提出条件潜在常微分方程以解决自动驾驶中的运动预测问题 imitation learning motion prediction ✅
12 Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion 提出基于物理引导扩散模型的长时程人类行为预测框架 reinforcement learning VQ-VAE multimodal
13 Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance 提出基于持久规则的深度交互强化学习，加速家务机器人训练并提升性能。 reinforcement learning deep reinforcement learning

🔬 支柱五：交互与反应 (Interaction & Reaction) (1 篇)

#题目一句话要点标签🔗⭐
14 Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction 提出一种低延迟分层程序框架，用于机器人辅助的手-物交互 HOI

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