cs.RO(2025-07-11)

📊 共 9 篇论文

🎯 兴趣领域导航

支柱一:机器人控制 (Robot Control) (5) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱三:空间感知与语义 (Perception & Semantics) (1) 支柱七:动作重定向 (Motion Retargeting) (1)

🔬 支柱一:机器人控制 (Robot Control) (5 篇)

#题目一句话要点标签🔗
1 Learning human-to-robot handovers through 3D scene reconstruction 提出H2RH-SGS,利用稀疏视图高斯溅射重建学习人机物体交接策略。 manipulation gaussian splatting splatting
2 CL3R: 3D Reconstruction and Contrastive Learning for Enhanced Robotic Manipulation Representations CL3R:融合3D重建与对比学习,增强机器人操作的表征能力 manipulation policy learning masked autoencoder
3 Keep on Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training 提出选择性对抗训练(SA2RT),提升人形机器人长时程运动技能的鲁棒性。 humanoid humanoid robot whole-body control
4 Multi-critic Learning for Whole-body End-effector Twist Tracking 提出多评论家学习框架,实现四足机器人全身末端执行器速度追踪 quadruped whole-body control locomotion
5 Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer 基于触觉反馈的机器人标定方法提升仿真到现实的转移效果 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🔗
6 Intelligent Control of Spacecraft Reaction Wheel Attitude Using Deep Reinforcement Learning 提出基于TD3-HD的深度强化学习方法,提升反应轮姿态控制在故障条件下的卫星自主控制能力。 reinforcement learning deep reinforcement learning DRL
7 Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning SelfReVision:用于机器人低层程序推理的自批判蒸馏框架 distillation large language model chain-of-thought

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

#题目一句话要点标签🔗
8 Multimodal HD Mapping for Intersections by Intelligent Roadside Units 利用智能路侧单元,提出多模态融合的高精地图构建方法,解决复杂路口遮挡问题。 semantic mapping semantic map multimodal

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

#题目一句话要点标签🔗
9 LiDAR, GNSS and IMU Sensor Alignment through Dynamic Time Warping to Construct 3D City Maps 提出基于动态时间规整的LiDAR-GNSS-IMU融合框架,用于构建高精度三维城市地图。 geometric consistency multimodal

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