cs.RO（2025-03-21）

📊 共 13 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗3) 支柱三：空间感知与语义 (Perception & Semantics) (3) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language 提出LLM+MAP框架，利用大语言模型和多智能体规划实现双臂机器人任务规划 manipulation bi-manual bimanual manipulation ✅
2 LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning LaMOuR：利用语言模型提升强化学习中OOD状态的恢复能力 humanoid humanoid locomotion locomotion ✅
3 DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation 提出动力学自适应世界动作模型(DyWA)，用于通用非抓取操作 manipulation policy learning
4 BEAC: Imitating Complex Exploration and Task-oriented Behaviors for Invisible Object Nonprehensile Manipulation 提出BEAC框架，用于模仿学习不可见物体非抓取操作中的复杂探索和任务行为 manipulation imitation learning
5 Behavioral Conflict Avoidance Between Humans and Quadruped Robots in Shared Environments 提出基于趋势适应的四足机器人行为冲突避免框架，提升人机共享环境安全性 quadruped
6 Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study 提出基于深度学习的下肢外骨骼步态分析方法，用于地形识别与参数估计。 locomotion ✅
7 Shear-based Grasp Control for Multi-fingered Underactuated Tactile Robotic Hands 提出基于剪切力的多指欠驱动触觉机器人手抓取控制方案，提升灵巧性和安全性。 manipulation
8 Control the Soft Robot Arm with its Physical Twin 提出一种基于物理孪生的软体机器人遥操作方法，实现复杂环境交互。 teleoperation
9 Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction 提出身体安全概念以解决人机交互中的安全问题 manipulation

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

#题目一句话要点标签🔗⭐
10 Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping Splat-LOAM：提出基于高斯溅射的激光雷达里程计与建图方法 gaussian splatting splatting NeRF
11 Sequential Autonomous Exploration-Based Precise Mapping for Mobile Robots through Stepwise and Consistent Motions 提出基于序列自主探索的精确建图框架，提升移动机器人在资源受限平台上的SLAM性能。 traversability
12 Targetless 6DoF Calibration of LiDAR and 2D Scanning Radar Based on Cylindrical Occupancy LiRaCo：提出一种基于柱面占据栅格的LiDAR与雷达无目标6DoF标定方法 occupancy grid

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

#题目一句话要点标签🔗⭐
13 LLM-Drone: Aerial Additive Manufacturing with Drones Planned Using Large Language Models LLM-Drone：提出基于大语言模型规划的无人机空中增材制造方法 large language model

⬅️ 返回 cs.RO 首页 · 🏠 返回主页