cs.RO（2024-06-28）

📊 共 13 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (6) 支柱二：RL算法与架构 (RL & Architecture) (4 🔗2) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (6 篇)

#	题目	一句话要点	标签	🔗	⭐
1	HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid	HumanVLA：提出基于视觉-语言引导的物理人形机器人物体重排列方法	humanoid reinforcement learning behavior cloning
2	SMPLOlympics: Sports Environments for Physically Simulated Humanoids	SMPLOlympics：为物理模拟人形机器人设计的体育运动环境	humanoid reward design SMPL
3	Learning Human-Robot Handshaking Preferences for Quadruped Robots	针对四足机器人，提出基于用户偏好的握手交互学习方法	quadruped
4	Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies	感知拼接：用于视觉运动机器人策略的零样本感知编码器迁移	manipulation imitation learning
5	SPITE: Simple Polyhedral Intersection Techniques for modified Environments	SPITE：用于动态环境的简单多面体相交技术，加速运动规划。	motion planning
6	Text2Robot: Evolutionary Robot Design from Text Descriptions	Text2Robot：基于文本描述的四足机器人进化设计框架	quadruped

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#	题目	一句话要点	标签	🔗	⭐
7	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning	提出ROS-LLM框架，利用自然语言提示和ROS上下文信息实现具身智能任务。	imitation learning embodied AI large language model	✅
8	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy	LLaRA：通过视觉-语言对话增强机器人学习数据，提升视觉-语言策略性能	behavior cloning vision-language-action VLA	✅
9	PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators	PoliFormer：Transformer赋能On-Policy强化学习，实现卓越室内导航	reinforcement learning open-vocabulary open vocabulary
10	3D Operation of Autonomous Excavator based on Reinforcement Learning through Independent Reward for Individual Joints	提出基于独立奖励强化学习的挖掘机3D自主控制方法，解决精确控制难题。	reinforcement learning

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
11	Integrating occlusion awareness in urban motion prediction for enhanced autonomous vehicle navigation	提出MultIAMP框架扩展，解决城市环境中自动驾驶车辆的遮挡感知运动预测问题	motion prediction multimodal

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

#	题目	一句话要点	标签	🔗	⭐
12	MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?	提出MMRo基准测试，评估多模态LLM作为家庭机器人大脑的适用性。	large language model LLM for robotics multimodal	✅

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
13	Mobile Robot Oriented Large-Scale Indoor Dataset for Dynamic Scene Understanding	提出面向移动机器人的大规模动态室内场景数据集THUD，用于提升动态场景理解能力	scene understanding

⬅️ 返回 cs.RO 首页 · 🏠 返回主页