cs.RO（2024-09-22）

📊 共 14 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) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱三：空间感知与语义 (Perception & Semantics) (2)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Adapting Gait Frequency for Posture-regulating Humanoid Push-recovery via Hierarchical Model Predictive Control 提出基于分层MPC的人形机器人步态频率自适应调整方法，提升抗扰动能力和姿态控制。 humanoid locomotion manipulation
2 Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation 提出ScaleDP：通过可扩展的Diffusion Transformer策略提升机器人操作性能 manipulation bi-manual diffusion policy
3 Admittance Visuomotor Policy Learning for General-Purpose Contact-Rich Manipulations 提出基于Admittance的视觉运动策略学习框架，用于通用接触式操作任务 manipulation teleoperation policy learning ✅
4 Optimizing Active Perception for Learning Simultaneous Viewpoint Selection and Manipulation with Diffusion Policy 提出基于扩散策略的主动感知优化方法，解决机器人操作中动态视角选择与操作协同问题 manipulation policy learning diffusion policy
5 Visual-auditory Extrinsic Contact Estimation 提出一种视觉-听觉融合方法，用于稳健估计机器人操作中的外部接触 manipulation sim-to-real policy learning
6 Modeling and In-flight Torso Attitude Stabilization of a Jumping Quadruped 针对低重力跳跃四足机器人，提出基于NMPC的躯干姿态稳定控制方法 quadruped model predictive control
7 D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation D3RoMa：基于Disparity Diffusion的深度感知，用于材质无关的机器人操作 manipulation depth estimation
8 DROP: Dexterous Reorientation via Online Planning 提出基于在线规划的灵巧重定向方法DROP，解决接触丰富的操作任务。 manipulation sim-to-real reinforcement learning ✅
9 InteLiPlan: An Interactive Lightweight LLM-Based Planner for Domestic Robot Autonomy InteLiPlan：用于家庭机器人的交互式轻量级LLM规划器 Unitree ANYmal

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
10 GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning GraspMamba：基于Mamba和分层特征学习的语言驱动抓取检测框架 Mamba multimodal
11 Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF 基于碰撞盾的简单模仿学习超越大规模模仿学习，解决多智能体路径规划问题 reinforcement learning imitation learning
12 Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning 提出基于部分可观测强化学习的自适应补偿方法，解决机器人关节失效问题 reinforcement learning

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

#题目一句话要点标签🔗⭐
13 Tactile Functasets: Neural Implicit Representations of Tactile Datasets 提出Tactile Functasets，用神经隐式表示法高效处理触觉传感器数据，提升泛化性。 implicit representation
14 SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms SPAQ-DL-SLAM：面向资源受限平台的深度学习SLAM优化框架 DROID-SLAM

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