cs.RO（2024-02-04）

📊 共 13 篇论文 | 🔗 5 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗4) 支柱七：动作重定向 (Motion Retargeting) (2 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning 提出语言引导的主动感知方法以解决环境感知问题 manipulation
2 A Survey on Robotics with Foundation Models: toward Embodied AI 综述基础模型在机器人领域的应用以推动具身人工智能发展 manipulation embodied AI foundation model
3 A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control 提出安全强化学习驱动的权重变化模型预测控制以优化自动驾驶车辆运动控制 MPC model predictive control reinforcement learning
4 Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking 提出基于生物启发的共适应策略以提升双足机器人自主学习能力 bipedal biped locomotion
5 Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation 提出Robot Trajectron以解决机器人操控中的轨迹预测问题 manipulation shared control ✅
6 Fast Explicit-Input Assistance for Teleoperation in Clutter 提出显式输入辅助以解决机器人遥操作中的混乱问题 manipulation teleoperation ✅
7 STAGE: Scalable and Traversability-Aware Graph based Exploration Planner for Dynamically Varying Environments 提出STAGE框架以解决动态环境中的高效探索问题 legged robot traversability
8 PoCo: Policy Composition from and for Heterogeneous Robot Learning 提出政策组合方法以解决异构机器人学习中的数据挑战 manipulation ✅
9 Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning 提出OBSBench基准以优化机器人学习中的观察空间选择 manipulation ✅

🔬 支柱七：动作重定向 (Motion Retargeting) (2 篇)

#题目一句话要点标签🔗⭐
10 SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving 提出SIMPL以解决自动驾驶多智能体运动预测问题 motion prediction ✅
11 Identifying and Extracting Pedestrian Behavior in Critical Traffic Situations 提出一种方法以识别和提取关键交通情况下的行人行为 spatial relationship

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

#题目一句话要点标签🔗⭐
12 Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks 提出深度强化学习与低级控制结合以解决机器人非重复性抓取问题 reinforcement learning deep reinforcement learning DRL

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

#题目一句话要点标签🔗⭐
13 Eigen Is All You Need: Efficient Lidar-Inertial Continuous-Time Odometry with Internal Association 提出SLICT2以解决高效的激光惯性连续时间里程计问题 LIO

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