cs.RO（2023-10-19）

📊 共 15 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 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱七：动作重定向 (Motion Retargeting) (2) 支柱四：生成式动作 (Generative Motion) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Eureka: Human-Level Reward Design via Coding Large Language Models 提出Eureka算法以解决复杂低级操作任务的奖励设计问题 manipulation reinforcement learning RLHF
2 Creative Robot Tool Use with Large Language Models 提出RoboTool以解决机器人工具创意使用问题 motion planning large language model task and motion planning ✅
3 Efficient, Dynamic Locomotion through Step Placement with Straight Legs and Rolling Contacts 提出高效动态步态控制以解决人形机器人行走问题 humanoid humanoid robot locomotion
4 CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning 提出基于连续性的纠正数据增强方法以提升模仿学习的鲁棒性 legged locomotion locomotion manipulation
5 Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning 提出热启发的去噪扩散方法以解决无碰撞运动规划问题 motion planning behavior cloning
6 NeuroSMPC: A Neural Network guided Sampling Based MPC for On-Road Autonomous Driving 提出NeuroSMPC以解决动态环境下自主驾驶的实时控制问题 MPC
7 Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning 提出基于局部非合作博弈的选择机制以解决大规模运动规划问题 motion planning
8 Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics 提出多机器人动态优化织物以解决实时运动规划问题 motion planning
9 Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach in Informed Sampling-Based Path Planning 提出FIT*以解决路径规划中的批量大小适应性问题 manipulation mobile manipulation

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

#题目一句话要点标签🔗⭐
10 Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots 利用大型语言模型填补机器人常识知识的缺口 large language model
11 PGA: Personalizing Grasping Agents with Single Human-Robot Interaction 提出个性化抓取代理PGA以解决人机交互中的物体识别问题 language conditioned ✅

🔬 支柱七：动作重定向 (Motion Retargeting) (2 篇)

#题目一句话要点标签🔗⭐
12 Advancements in Radar Odometry 提出改进方法以解决雷达里程计估计的准确性和可靠性问题 motion estimation
13 Object-Aware Impedance Control for Human-Robot Collaborative Task with Online Object Parameter Estimation 提出在线物体参数估计的阻抗控制以解决人机协作任务 human motion

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
14 Hibikino-Musashi@Home 2023 Team Description Paper 提出Hibikino-Musashi@Home团队的机器人视觉系统以提升家庭服务机器人性能 motion synthesis

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

#题目一句话要点标签🔗⭐
15 PUMA: Deep Metric Imitation Learning for Stable Motion Primitives 提出PUMA以解决模仿学习中的稳定性问题 imitation learning

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