cs.RO（2025-07-14）

📊 共 14 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (12 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (12 篇)

#题目一句话要点标签🔗⭐
1 Vision Language Action Models in Robotic Manipulation: A Systematic Review 系统性综述：机器人操作中的视觉语言动作模型研究进展 manipulation policy learning vision-language-action
2 Robust RL Control for Bipedal Locomotion with Closed Kinematic Chains 提出一种考虑闭链动力学的鲁棒强化学习方法，用于双足机器人运动控制 bipedal biped locomotion
3 Foundation Model Driven Robotics: A Comprehensive Review 综述：基于Foundation Model驱动的机器人技术，探索架构优势与局限 sim-to-real large language model foundation model
4 Prompt Informed Reinforcement Learning for Visual Coverage Path Planning 提出Prompt-Informed RL，利用LLM进行视觉覆盖路径规划，提升无人机效率。 sim-to-real reinforcement learning PPO
5 Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints GUIDER：一种用于移动操作的概率性人类意图预测框架 manipulation mobile manipulation occupancy grid
6 Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection 提出基于目标条件强化学习和对象检测的通用机器人操作方法 manipulation reinforcement learning large language model
7 Physics-Informed Neural Networks with Unscented Kalman Filter for Sensorless Joint Torque Estimation in Humanoid Robots 提出基于物理信息神经网络与无迹卡尔曼滤波的人形机器人无力矩传感器关节力矩估计方法 humanoid humanoid robot
8 MP1: MeanFlow Tames Policy Learning in 1-step for Robotic Manipulation MP1：利用MeanFlow一步到位地解决机器人操作中的策略学习问题 manipulation policy learning ✅
9 Polygonal Obstacle Avoidance Combining Model Predictive Control and Fuzzy Logic 提出基于模糊逻辑的MPC方法以解决多边形障碍物避让问题 MPC model predictive control occupancy grid
10 TOP: Trajectory Optimization via Parallel Optimization towards Constant Time Complexity 提出基于并行优化的轨迹优化框架，实现常数时间复杂度 trajectory optimization motion planning
11 Demonstrating the Octopi-1.5 Visual-Tactile-Language Model Octopi-1.5：一种支持多触觉输入和RAG的视觉-触觉-语言模型，用于触觉推理任务。 manipulation dexterous manipulation foundation model ✅
12 rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding 提出rt-RISeg，通过机器人交互和无模型分析实现实时交互式物体分割 manipulation foundation model

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

#题目一句话要点标签🔗⭐
13 Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots 提出基于进化策略微调深度强化学习策略的方法，用于欠驱动机器人控制 reinforcement learning deep reinforcement learning SAC

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

#题目一句话要点标签🔗⭐
14 Towards Emotion Co-regulation with LLM-powered Socially Assistive Robots: Integrating LLM Prompts and Robotic Behaviors to Support Parent-Neurodivergent Child Dyads 提出基于LLM的社交辅助机器人，支持亲子情绪共调节，提升神经多样性儿童的心理健康。 large language model

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