cs.RO（2023-10-02）

📊 共 13 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱五：交互与反应 (Interaction & Reaction) (1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 Graph-Theoretic Bézier Curve Optimization over Safe Corridors for Safe and Smooth Motion Planning 提出图论视角的贝塞尔曲线优化以实现安全平滑运动规划 trajectory optimization motion planning motion representation
2 Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior 提出通用动物模仿者以解决多种灵活运动行为学习问题 legged robot locomotion reinforcement learning ✅
3 BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks 提出BeBOP以解决机器人操作任务的配置难题 manipulation reinforcement learning reward shaping
4 ViPlanner: Visual Semantic Imperative Learning for Local Navigation 提出ViPlanner以解决户外环境中的实时路径规划问题 legged robot sim-to-real traversability ✅
5 Learning manipulation of steep granular slopes for fast Mini Rover turning 提出一种新方法以解决陡峭颗粒坡道上小型探测车的转向问题 manipulation
6 Trust-Aware Motion Planning for Human-Robot Collaboration under Distribution Temporal Logic Specifications 提出信任感知运动规划以解决人机协作中的复杂任务 motion planning
7 Robot Fleet Learning via Policy Merging 提出FLEET-MERGE以解决机器人队伍学习中的数据传输问题 manipulation policy learning

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

#题目一句话要点标签🔗⭐
8 Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control 提出混合视觉伺服策略以解决可扩展性问题 reinforcement learning deep reinforcement learning DRL
9 Imitation Learning from Observation through Optimal Transport 提出基于最优传输的观察模仿学习方法以提升学习效率 imitation learning

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

#题目一句话要点标签🔗⭐
10 COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry 提出COIN-LIO以解决LiDAR惯性里程计在几何退化场景中的鲁棒性问题 LIO

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

#题目一句话要点标签🔗⭐
11 EAST: Environment Aware Safe Tracking using Planning and Control Co-Design 提出EAST方法以解决动态环境下的安全导航问题 motion prediction

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

#题目一句话要点标签🔗⭐
12 GRID: A Platform for General Robot Intelligence Development 提出GRID平台以解决机器人智能开发中的数据稀缺与适应性问题 foundation model

🔬 支柱五：交互与反应 (Interaction & Reaction) (1 篇)

#题目一句话要点标签🔗⭐
13 Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions 提出基于人机交互的自动驾驶政策设计以提升用户幸福感 dyadic interaction

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