cs.RO（2023-10-05）

📊 共 13 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (11) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (11 篇)

#题目一句话要点标签🔗⭐
1 A Suspended Aerial Manipulation Avatar for Physical Interaction in Unstructured Environments 提出悬挂式空中操控化身以解决非结构化环境中的物理交互问题 humanoid manipulation
2 Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments 提出一种多旋翼无人机运输悬挂负载的运动规划方法 trajectory optimization motion planning
3 Generalized Benders Decomposition with Continual Learning for Hybrid Model Predictive Control in Dynamic Environment 提出基于广义本德分解的混合模型预测控制以提升求解速度 MPC model predictive control
4 Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End 提出基于强化学习的导航策略以应对感知失败问题 quadruped legged robot ANYmal
5 RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation 提出RGBManip以解决单目图像基础的机器人操作问题 manipulation reinforcement learning
6 Interpreting Behaviors and Geometric Constraints as Knowledge Graphs for Robot Manipulation Control 提出知识图谱以提升机器人操作控制的可解释性 manipulation
7 A Survey of Multi-Robot Motion Planning 综述多机器人运动规划以提升系统效率与可靠性 motion planning
8 ${\tt MORALS}$: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space 提出MORALS以解决高维机器人控制器的吸引域估计问题 humanoid humanoid robot
9 Design Optimizer for Planar Soft-Growing Robot Manipulators 提出软生长机器人设计优化方法以解决任务特定尺寸问题 manipulation
10 Time-Optimal Trajectory Planning in Highway Scenarios using Basis-Spline Parameterization 提出基于基样条的时间最优轨迹规划以解决高速公路场景问题 motion planning
11 Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics 提出基于控制器的路标图以提高动态规划效率 motion planning

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

#题目一句话要点标签🔗⭐
12 Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction 提出基于约束概率模型的人体运动预测以提升人机协作效率 human motion human motion prediction motion prediction

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

#题目一句话要点标签🔗⭐
13 Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards 提出自适应机会约束保护机制以解决强化学习中的安全性问题 reinforcement learning

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