cs.RO（2024-10-31）

📊 共 21 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (18 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2) 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	DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning	DexMimicGen：通过模仿学习自动生成双臂灵巧操作数据，解决数据获取瓶颈。	humanoid humanoid robot manipulation
2	3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing	3D-ViTac：利用视觉-触觉融合学习精细操作	manipulation in-hand manipulation bi-manual	✅
3	EgoMimic: Scaling Imitation Learning via Egocentric Video	EgoMimic：通过第一视角视频扩展模仿学习，实现更高效的机器人操作	manipulation bi-manual bimanual manipulation
4	Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling	提出基于Transformer的MPC框架，利用序列建模优化轨迹生成，提升机器人控制性能。	MPC model predictive control trajectory optimization
5	Learning Visual Parkour from Generated Images	提出基于生成图像的视觉跑酷学习方法，实现机器人零样本迁移	parkour sim-to-real zero-shot transfer
6	State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning	提出基于不确定性感知模仿学习的状态和上下文相关机器人操作与抓取方法	manipulation imitation learning
7	BOMP: Bin-Optimized Motion Planning	BOMP：一种箱体优化运动规划方法，加速深箱拣选任务	motion planning height map
8	GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance	提出基于多尺度几何-可供性引导的GAMap，实现零样本物体目标导航	locomotion affordance
9	Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer	提出大规模多指抓取评估数据集，实现鲁棒的Sim-to-Real迁移	sim-to-real NeRF
10	SceneComplete: Open-World 3D Scene Completion in Cluttered Real World Environments for Robot Manipulation	SceneComplete：面向机器人操作的杂乱真实环境三维场景补全	manipulation dexterous hand
11	Tiny Learning-Based MPC for Multirotors: Solver-Aware Learning for Efficient Embedded Predictive Control	提出Tiny LB MPC以解决微型多旋翼控制挑战	MPC model predictive control
12	Multi-Robot Pursuit in Parameterized Formation via Imitation Learning	提出基于模仿学习的参数化编队控制方法，解决多机器人追捕问题	model predictive control imitation learning
13	CubiXMusashi: Fusion of Wire-Driven CubiX and Musculoskeletal Humanoid Musashi toward Unlimited Performance	CubiXMusashi：融合线驱动CubiX与肌肉骨骼人Musashi，实现无限性能	humanoid
14	EmbodiedRAG: Dynamic 3D Scene Graph Retrieval for Efficient and Scalable Robot Task Planning	EmbodiedRAG：用于高效可扩展机器人任务规划的动态3D场景图检索	quadruped large language model
15	SuctionPrompt: Visual-assisted Robotic Picking with a Suction Cup Using Vision-Language Models and Facile Hardware Design	SuctionPrompt：利用视觉语言模型和简易硬件设计的吸盘式视觉辅助机器人抓取	manipulation large language model
16	First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling	提出主动信息收集框架，解决车辆极限操控时在线学习不足的问题。	MPC model predictive control
17	Sparsh: Self-supervised touch representations for vision-based tactile sensing	Sparsh：面向视觉触觉传感的自监督通用触觉表征学习	manipulation distillation
18	Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks	分析视觉与触觉在灵巧插入任务中的相互作用，提升机器人操作性能	manipulation

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
19	Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning	提出LDPD：一种语言驱动的策略蒸馏方法，用于提升多智能体强化学习中的协同驾驶能力。	reinforcement learning distillation large language model
20	Dual Agent Learning Based Aerial Trajectory Tracking	提出基于双智能体强化学习的无人机轨迹跟踪方法，解决复杂环境下的鲁棒性问题。	reinforcement learning deep reinforcement learning curriculum learning

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

#	题目	一句话要点	标签	🔗	⭐
21	PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks	PARTNR：具身多智能体任务中规划与推理的基准测试	large language model

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