cs.RO（2025-09-14）

📊 共 11 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗2) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP 提出基于神经符号TAMP的持续学习框架，提升机器人拆卸动力电池的鲁棒性。 motion planning multimodal task and motion planning
2 Quantum deep reinforcement learning for humanoid robot navigation task 提出量子深度强化学习(QDRL)用于人形机器人导航，加速复杂环境学习。 humanoid humanoid robot reinforcement learning
3 FEWT: Improving Humanoid Robot Perception with Frequency-Enhanced Wavelet-based Transformers 提出基于频率增强小波变换的Transformer（FEWT），提升人形机器人感知能力 humanoid humanoid robot manipulation
4 Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations 提出一种保留预训练表征的VLA模型训练框架，提升机器人泛化能力 manipulation affordance vision-language-action
5 ManiVID-3D: Generalizable View-Invariant Reinforcement Learning for Robotic Manipulation via Disentangled 3D Representations ManiVID-3D：通过解耦3D表示实现机器人操作的通用视角不变强化学习 manipulation sim-to-real reinforcement learning ✅
6 ActivePose: Active 6D Object Pose Estimation and Tracking for Robotic Manipulation 提出ActivePose，结合VLM与机器人主动探索，解决机器人操作中6D位姿估计与跟踪难题。 manipulation imitation learning diffusion policy
7 MEMBOT: Memory-Based Robot in Intermittent POMDP MEMBOT：一种基于记忆的机器人架构，解决间歇性部分可观测马尔可夫决策过程中的控制问题。 manipulation reinforcement learning policy learning
8 RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor-Payload Systems RoVerFly：四旋翼-负载系统的鲁棒通用隐式混合控制框架 domain randomization reinforcement learning ✅
9 SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators SAMP：基于空间锚点的运动策略，用于具有碰撞意识的机器人操作 motion planning

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

#题目一句话要点标签🔗⭐
10 DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation DreamNav：基于轨迹想象的零样本视觉-语言导航框架 scene understanding egocentric VLN

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
11 Policy Learning for Social Robot-Led Physiotherapy 提出基于强化学习的社交机器人引导康复策略，解决数据稀缺问题。 reinforcement learning policy learning

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