cs.RO（2024-01-17）

📊 共 14 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (3) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 CognitiveDog: Large Multimodal Model Based System to Translate Vision and Language into Action of Quadruped Robot 提出CognitiveDog以解决四足机器人与人类自然交互问题 quadruped manipulation Unitree
2 PINSAT: Parallelized Interleaving of Graph Search and Trajectory Optimization for Kinodynamic Motion Planning 提出PINSAT以解决复杂运动规划中的时间效率问题 manipulation trajectory optimization motion planning
3 Visual Robotic Manipulation with Depth-Aware Pretraining 提出深度感知预训练以提升机器人视觉操控能力 manipulation policy learning representation learning
4 Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation 提出自监督数据过滤框架以解决机器人操作中的不完美示范问题 manipulation sim2real reinforcement learning
5 Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers 提出Biased-MPPI以解决动态环境下运动规划问题 MPC model predictive control motion planning
6 DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning 提出DiffClone以解决机器人行为克隆中的效率问题 manipulation policy learning offline RL
7 Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication 提出改进共识ADMM以解决大规模联网自动驾驶车辆的协同运动规划问题 motion planning ✅
8 Robot Tape Manipulation for 3D Printing 提出机器人胶带操控技术以解决3D打印中的柔性材料挑战 manipulation
9 Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation 提出EAGLE框架以提升视觉运动策略的泛化能力 manipulation embodied AI

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#题目一句话要点标签🔗⭐
10 FIT-SLAM -- Fisher Information and Traversability estimation-based Active SLAM for exploration in 3D environments 提出FIT-SLAM以解决3D环境中UGV探索效率与精度问题 visual SLAM traversability
11 DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing 提出DK-SLAM以解决传统视觉SLAM在复杂场景中的特征提取不足问题 visual SLAM feature matching
12 POE: Acoustic Soft Robotic Proprioception for Omnidirectional End-effectors 提出POE以解决软机器人自我感知与形状估计问题 3D reconstruction

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

#题目一句话要点标签🔗⭐
13 Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River 提出协同强化与模仿学习以解决无人机沿河飞行问题 reinforcement learning imitation learning
14 Deployable Reinforcement Learning with Variable Control Rate 提出可变控制频率的强化学习以提升机器人控制效率 reinforcement learning SAC

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