cs.RO（2024-03-18）

📊 共 24 篇论文 | 🔗 5 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (17 🔗4) 支柱三：空间感知与语义 (Perception & Semantics) (3) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱一：机器人控制 (Robot Control) (17 篇)

#题目一句话要点标签🔗⭐
1 Locomotion Generation for a Rat Robot based on Environmental Changes via Reinforcement Learning 提出基于强化学习的环境适应性小型四足机器人运动生成方法 quadruped locomotion reinforcement learning
2 LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning 提出LLM^3以解决任务与运动规划中的失败推理问题 motion planning motion generation large language model
3 Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning 提出基于触觉的强化学习以解决未知物体操作问题 manipulation sim2real reinforcement learning ✅
4 Accelerating Model Predictive Control for Legged Robots through Distributed Optimization 通过分布式优化加速腿部机器人模型预测控制 quadruped legged robot MPC
5 On the Benefits of GPU Sample-Based Stochastic Predictive Controllers for Legged Locomotion 提出基于GPU的样本随机控制策略以解决四足机器人步态适应问题 quadruped legged locomotion locomotion
6 Ergonomic Optimization in Worker-Robot Bimanual Object Handover: Implementing REBA Using Reinforcement Learning in Virtual Reality 提出基于强化学习的REBA框架以优化人机协作中的物体交接 bi-manual reinforcement learning
7 Expert Composer Policy: Scalable Skill Repertoire for Quadruped Robots 提出专家组合策略以扩展四足机器人技能库 quadruped locomotion domain randomization
8 Continual Domain Randomization 提出持续领域随机化以解决强化学习中的训练灵活性问题 sim2real domain randomization reinforcement learning ✅
9 VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation Policies 提出Visuo-Tactile预训练以提升机器人操作性能 manipulation dexterous manipulation imitation learning
10 Hardware Design and Learning-Based Software Architecture of Musculoskeletal Wheeled Robot Musashi-W for Real-World Applications 提出Musashi-W机器人以解决灵活体行走困难问题 humanoid bipedal biped
11 Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation 提出视觉偏好推断方法以解决桌面物体操控中的人类偏好推断问题 manipulation ✅
12 Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation 提出全球到局部的RGB-D抓取检测方法以解决领域适应问题 sim-to-real
13 VIHE: Virtual In-Hand Eye Transformer for 3D Robotic Manipulation 提出VIHE以解决3D机器人操控中的视角渲染问题 manipulation
14 ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping 提出基于扩散模型的框架以解决机器人抓取中的现实差距问题 sim-to-real
15 Reachability-based Trajectory Design via Exact Formulation of Implicit Neural Signed Distance Functions 提出REDEFINED以解决自主车辆实时轨迹规划问题 motion planning implicit representation ✅
16 IKSPARK: Obstacle-Aware Inverse Kinematics via Convex Optimization 提出IKSPARK以解决复杂约束下的逆向运动学问题 motion planning
17 Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap 提出动态系统调制的星形路线图以解决未知杂乱环境中的机器人导航问题 motion planning

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#题目一句话要点标签🔗⭐
18 Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF 提出风险感知环境掩蔽框架以提升机器人导航安全性 3D gaussian splatting gaussian splatting splatting
19 StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels 提出StereoNavNet以解决视觉导航中的泛化能力不足问题 occupancy grid
20 An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation 提出基于旋转-平移解耦估计的三视图相对姿态估计方法 visual odometry

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
21 Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation Models 提出多模态交互框架以提升人机协作效率 large language model foundation model multimodal ✅
22 Inferring Belief States in Partially-Observable Human-Robot Teams 提出实时估计人类认知状态的方法以改善人机团队协作 large language model

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

#题目一句话要点标签🔗⭐
23 Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making 解码深度强化学习在自动驾驶决策中的物理过程 reinforcement learning deep reinforcement learning DRL
24 Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight 提出结合强化学习与模仿学习的框架以解决视觉驱动的四旋翼飞行问题 reinforcement learning policy learning imitation learning

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