cs.RO（2025-05-02）

📊 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) (10 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 Model Tensor Planning 提出模型张量规划（MTP），通过结构化张量采样提升采样MPC在复杂机器人任务中的探索能力。 humanoid humanoid locomotion locomotion
2 DexFlow: A Unified Approach for Dexterous Hand Pose Retargeting and Interaction DexFlow：一种用于灵巧手姿态重定向和交互的统一方法 manipulation dexterous hand dexterous manipulation
3 Phasing Through the Flames: Rapid Motion Planning with the AGHF PDE for Arbitrary Objective Functions and Constraints 推广AGHF PDE：实现任意目标函数与约束下机器人快速运动规划 humanoid trajectory optimization motion planning ✅
4 DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning DexCtrl：基于自适应控制器学习实现灵巧操作的Sim-to-Real迁移 manipulation dexterous manipulation sim-to-real
5 High Speed Robotic Table Tennis Swinging Using Lightweight Hardware with Model Predictive Control 提出基于模型预测控制的轻量级乒乓球机器人，实现高速高精度击球 MPC model predictive control
6 ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow ViSA-Flow：通过大规模视频语义动作流加速机器人技能学习 manipulation human-object interaction ✅
7 Deformable Cargo Transport in Microgravity with Astrobee 提出pyastrobee仿真环境与控制栈，用于Astrobee在微重力环境下操控可变形货物 manipulation MPC ✅
8 ASAP-MO:Advanced Situational Awareness and Perception for Mission-critical Operations ASAP-MO：面向任务关键型操作的先进情境感知与理解 teleoperation
9 Physics-Constrained Robot Grasp Planning for Dynamic Tool Use 提出iTuP框架，解决动态工具使用中机器人抓取的稳定性问题 manipulation
10 Tightly Coupled Range Inertial Odometry and Mapping with Exact Point Cloud Downsampling 提出基于coreset提取的精确点云降采样算法，实现实时紧耦合激光惯性里程计与建图 trajectory optimization

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

#题目一句话要点标签🔗⭐
11 Towards Cognitive Collaborative Robots: Semantic-Level Integration and Explainable Control for Human-Centric Cooperation 面向人机协作，提出融合语义理解与可解释控制的认知协作机器人架构 reinforcement learning distillation semantic mapping
12 Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings 提出基于条件最优传输耦合的快速Flow策略，加速机器人动作生成。 diffusion policy flow matching distillation

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

#题目一句话要点标签🔗⭐
13 Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning 面向室内环境，构建基于深度学习推理的自主具身智能体 embodied AI

⬅️ 返回 cs.RO 首页 · 🏠 返回主页