cs.RO（2024-09-29）

📊 共 12 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 The Duke Humanoid: Design and Control For Energy Efficient Bipedal Locomotion Using Passive Dynamics 提出基于被动动力学的杜克人形机器人，实现高能效双足行走 humanoid bipedal biped
2 Obstacle-Aware Quadrupedal Locomotion With Resilient Multi-Modal Reinforcement Learning 提出一种基于多模态强化学习的四足机器人避障运动控制方法 quadruped locomotion reinforcement learning
3 Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning 提出基于图神经网络的去中心化无标签运动规划方法，提升多机器人系统的可扩展性。 motion planning reinforcement learning imitation learning
4 LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World LiRA：一种轻量鲁棒的对抗学习框架，用于真实世界中基于模型的强化学习 quadruped gait control reinforcement learning
5 Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning 提出基于扩散运动规划的零样本知识迁移框架，用于轮椅网球导航 motion planning imitation learning
6 Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance 开发以人为本的导盲机器人，提升视障人士的出行辅助 quadruped
7 GelSlim 4.0: Focusing on Touch and Reproducibility GelSlim 4.0：面向触觉感知与可复现性的开源视觉触觉传感器 manipulation
8 Multi-Query Shortest-Path Problem in Graphs of Convex Sets 提出基于凸集图的多查询最短路径方法，加速机器人臂运动规划。 motion planning

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

#题目一句话要点标签🔗⭐
9 Grounded Curriculum Learning 提出GCL，通过对齐真实世界任务分布提升机器人强化学习效率 reinforcement learning curriculum learning
10 Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances 提出基于Hamilton-Jacobi可达性引导扰动的鲁棒强化学习策略训练框架 reinforcement learning deep reinforcement learning

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

#题目一句话要点标签🔗⭐
11 RoboNurse-VLA: Robotic Scrub Nurse System based on Vision-Language-Action Model 提出基于视觉-语言-动作模型的RoboNurse-VLA机器人手术助手系统，提升手术效率。 vision-language-action VLA

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

#题目一句话要点标签🔗⭐
12 Spatio-Temporal Metric-Semantic Mapping for Persistent Orchard Monitoring: Method and Dataset 提出时空度量语义地图系统，用于果园长期监测和果实生长追踪。 semantic mapping semantic map multimodal

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