cs.RO（2025-12-18）

📊 共 12 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱三：空间感知与语义 (Perception & Semantics) (2)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 E-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid Locomotion E-SDS：环境感知的人形机器人强化学习框架，实现复杂地形稳健行走 humanoid humanoid locomotion locomotion
2 VERM: Leveraging Foundation Models to Create a Virtual Eye for Efficient 3D Robotic Manipulation VERM：利用基础模型为机器人操作构建高效3D虚拟视觉 manipulation foundation model
3 PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence 提出PhysBrain，利用人类第一视角数据提升机器人物理智能 humanoid humanoid robot egocentric
4 ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation ManiLong-Shot：交互感知的单样本模仿学习用于长时程操作任务 manipulation imitation learning
5 ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning ReinforceGen：结合自动数据生成与强化学习的混合技能策略，解决长时程操作任务。 manipulation motion planning reinforcement learning
6 Sceniris: A Fast Procedural Scene Generation Framework Sceniris：一种快速程序化场景生成框架，加速物理AI和生成模型开发。 manipulation spatial relationship ✅
7 A Task-Driven, Planner-in-the-Loop Computational Design Framework for Modular Manipulators 提出任务驱动的模块化机械臂计算设计框架，实现形态与运动的协同优化 model predictive control motion planning
8 Single-View Shape Completion for Robotic Grasping in Clutter 提出基于扩散模型的单视角形状补全方法，提升复杂场景下机器人抓取成功率。 manipulation

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

#题目一句话要点标签🔗⭐
9 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future 综述性论文：面向自动驾驶的视觉-语言-动作模型研究进展与未来展望 vision-language-action VLA large language model
10 PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies PolaRiS：面向通用机器人策略的可扩展真实到仿真评估框架 foundation model

🔬 支柱三：空间感知与语义 (Perception & Semantics) (2 篇)

#题目一句话要点标签🔗⭐
11 A2VISR: An Active and Adaptive Ground-Aerial Localization System Using Visual Inertial and Single-Range Fusion 提出A2VISR，一种融合视觉惯性和单测距的主动自适应地-空协同定位系统 optical flow
12 Privacy-Aware Sharing of Raw Spatial Sensor Data for Cooperative Perception 提出SHARP框架，旨在最小化原始空间传感器数据共享中的隐私泄露，促进车辆协同感知。 scene understanding

⬅️ 返回 cs.RO 首页 · 🏠 返回主页