cs.RO（2026-01-19）

📊 共 12 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2 🔗2) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions FRoM-W1：提出基于自然语言指令的通用人形机器人全身控制框架 humanoid humanoid robot whole-body control
2 ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation ForeDiffusion：通过未来视图构建的前瞻条件扩散策略，提升机器人操作性能 manipulation diffusion policy
3 FocusNav: Spatial Selective Attention with Waypoint Guidance for Humanoid Local Navigation FocusNav：基于航点引导的空间选择性注意力机制，用于人形机器人局部导航 humanoid humanoid robot Unitree
4 Static Is Not Enough: A Comparative Study of VR and SpaceMouse in Static and Dynamic Teleoperation Tasks 对比VR与SpaceMouse在静态和动态遥操作任务中的性能差异，并开源VR遥操作界面。 teleoperation VR teleoperation imitation learning
5 Contact-Aware Neural Dynamics 提出Contact-Aware Neural Dynamics，解决接触交互中Sim-to-Real迁移难题 sim-to-real contact-aware
6 Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design 提出基于主动推理的世界建模方法，用于自适应无人机群轨迹设计 motion planning world model
7 Diffusion-based Inverse Model of a Distributed Tactile Sensor for Object Pose Estimation 提出基于扩散模型的触觉逆模型，用于物体姿态估计，提升采样效率和估计精度。 manipulation multimodal
8 MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation MATTERIX：面向机器人辅助化学实验室自动化的数字孪生框架 manipulation sim-to-real ✅

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

#题目一句话要点标签🔗⭐
9 Imitation learning-based spacecraft rendezvous and docking method with Expert Demonstration 提出基于模仿学习的航天器交会对接方法，提升复杂环境下的鲁棒性。 imitation learning ✅
10 Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning Sparse ActionGen：基于实时剪枝加速扩散策略，实现机器人实时控制 diffusion policy ✅

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

#题目一句话要点标签🔗⭐
11 Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization Being-H0.5：通过人类中心机器人学习实现跨具身泛化 cross-embodiment vision-language-action VLA

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

#题目一句话要点标签🔗⭐
12 CLEAR: A Semantic-Geometric Terrain Abstraction for Large-Scale Unstructured Environments 提出CLEAR：一种用于大规模非结构化环境的语义-几何地形抽象方法 traversability

⬅️ 返回 cs.RO 首页 · 🏠 返回主页