cs.RO（2025-09-08）

📊 共 13 篇论文 | 🔗 2 篇有代码

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支柱一：机器人控制 (Robot Control) (10 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (3 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 LLaDA-VLA: Vision Language Diffusion Action Models 提出LLaDA-VLA以解决机器人操作中的视觉语言动作建模问题 manipulation policy learning vision-language-action
2 Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots 提出一种系统性的Sim-to-Real迁移框架，用于提升多样化足式机器人的能量效率。 legged robot locomotion sim-to-real
3 CRISP -- Compliant ROS2 Controllers for Learning-Based Manipulation Policies and Teleoperation CRISP：用于学习操作策略和遥操作的兼容ROS2控制器 manipulation teleoperation diffusion policy ✅
4 Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments 提出深度反应策略DRP，解决动态环境中机器人操作臂的反应式运动规划问题。 motion planning motion generation reactive motion
5 Real-time Photorealistic Mapping for Situational Awareness in Robot Teleoperation 提出基于高斯溅射SLAM的实时光照逼真地图构建方法，提升机器人遥操作情境感知能力。 teleoperation gaussian splatting splatting
6 Safe Robust Predictive Control-based Motion Planning of Automated Surface Vessels in Inland Waterways 提出基于安全鲁棒预测控制的水面无人艇内河航行运动规划方法 model predictive control motion planning
7 Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining 提出BAN-MPC框架，在保证安全性的前提下加速神经MPC，无需重训练。 MPC model predictive control
8 Interactive Shaping of Granular Media Using Reinforcement Learning 提出基于强化学习的交互式粒状介质塑形方法，实现机器人自主操作。 manipulation reinforcement learning
9 First Plan Then Evaluate: Use a Vectorized Motion Planner for Grasping 提出基于向量化运动规划器的抓取框架，提升多指抓取的效率与成功率 manipulation trajectory optimization motion planning
10 Quantum Machine Learning and Grover's Algorithm for Quantum Optimization of Robotic Manipulators 提出基于量子机器学习和Grover算法的机器人优化方法 dual-arm

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗⭐
11 F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions F1模型：通过视觉预测连接理解、生成与动作，提升具身智能任务性能。 embodied AI vision-language-action VLA
12 Embodied Hazard Mitigation using Vision-Language Models for Autonomous Mobile Robots 提出基于视觉-语言模型的自主移动机器人危险缓解系统 large language model multimodal
13 T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation 提出T-araVLN，通过指令翻译提升农业机器人视觉语言导航性能 VLN ✅

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