cs.RO（2023-11-07）

📊 共 12 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1) 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) (7 篇)

#题目一句话要点标签🔗⭐
1 TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer 提出TWIST以解决视觉模型基强化学习的仿真到现实转移问题 sim-to-real world model world models
2 Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation 提出估计器耦合强化学习以解决机器人触觉操控问题 manipulation in-hand manipulation sim2real
3 Design and Experimental Verification of a Jumping Legged Robot for Martian Lava Tube Exploration 提出一种跳跃腿式机器人以探索火星熔岩管道 quadruped legged robot bipedal
4 Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model 提出基于残差高斯过程模型的机器人切割策略仿真到现实转移方法 sim-to-real imitation learning
5 Terrain Recognition and Contact Force Estimation through a Sensorized Paw for Legged Robots 提出传感器化爪子以解决地形识别与接触力估计问题 legged robot locomotion
6 Active Collision Avoidance System for E-Scooters in Pedestrian Environment 提出电动滑板车主动避碰系统以解决行人环境中的安全问题 motion planning
7 Proprioceptive Invariant Robot State Estimation 提出DRIFT框架以解决机器人状态估计问题 legged robot

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

#题目一句话要点标签🔗⭐
8 Interactive Semantic Map Representation for Skill-based Visual Object Navigation 提出一种交互式语义地图表示以解决视觉物体导航问题 reinforcement learning semantic map
9 Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking 提出贝叶斯强化学习算法以解决航天器接近机动与对接问题 reinforcement learning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗⭐
10 Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space 提出全自动任务管理框架以解决自然语言指令下的抓取与搬运任务 multimodal

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

#题目一句话要点标签🔗⭐
11 PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment 提出一种基于图像分割的去中心化多智能体轨迹规划方法以解决导航不确定性问题 geometric consistency

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

#题目一句话要点标签🔗⭐
12 Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM 提出基于惯性引导的特征对应不确定性估计以提升视觉惯性里程计精度 visual odometry

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