cs.RO（2025-11-19）

📊 共 15 篇论文 | 🔗 3 篇有代码

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支柱一：机器人控制 (Robot Control) (11 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱三：空间感知 (Perception & SLAM) (1)

🔬 支柱一：机器人控制 (Robot Control) (11 篇)

#题目一句话要点标签🔗⭐
1 VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation VIRAL：面向人形机器人loco-manipulation的大规模视觉Sim-to-Real框架 humanoid humanoid robot manipulation
2 Symmetry-Breaking in Multi-Agent Navigation: Winding Number-Aware MPC with a Learned Topological Strategy 提出基于绕数感知的MPC方法，解决多智能体导航中的对称性破缺问题 MPC reinforcement learning navigation ✅
3 NMPC-based Motion Planning with Adaptive Weighting for Dynamic Object Interception 提出基于自适应权重NMPC的运动规划方法，用于双臂协作机器人动态目标拦截 MPC model predictive control motion planning
4 In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data 利用真实场景和任务数据，扩展第一视角操作策略学习。 humanoid manipulation flow matching ✅
5 Eq.Bot: Enhance Robotic Manipulation Learning via Group Equivariant Canonicalization Eq.Bot：通过群等变规范化增强机器人操作学习 manipulation geometric consistency
6 RRT*former: Environment-Aware Sampling-Based Motion Planning using Transformer RRT*former：利用Transformer进行环境感知采样的机器人运动规划 motion planning ✅
7 Communication-Aware Asynchronous Distributed Trajectory Optimization for UAV Swarm 提出通信感知异步分布式轨迹优化算法，解决无人机集群在通信受限环境下的轨迹规划问题。 trajectory optimization
8 SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models 提出SRPO，利用自参照策略优化视觉-语言-动作模型，解决奖励稀疏问题。 manipulation reinforcement learning world model
9 Theoretical Closed-loop Stability Bounds for Dynamical System Coupled with Diffusion Policies 提出扩散策略闭环稳定性理论边界，加速机器人实时控制 manipulation imitation learning diffusion policy
10 Behavior Trees vs Executable Ontologies: a Comparative Analysis of Robot Control Paradigms 提出基于可执行本体的机器人控制框架，解决传统机器人控制的语义鸿沟问题。 manipulation mobile manipulation
11 Discovering Optimal Natural Gaits of Dissipative Systems via Virtual Energy Injection 提出基于虚拟能量注入的框架，用于发现耗散系统中能量最优的自然步态 legged robot

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
12 Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention 提出一种平台无关的强化学习框架，结合图注意力机制实现复杂环境安全探索。 reinforcement learning PPO
13 Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments 提出一种基于多智能体强化学习的动态环境路径规划方法 reinforcement learning
14 Look, Zoom, Understand: The Robotic Eyeball for Embodied Perception 提出EyeVLA：一种用于具身感知的机器人眼球，实现主动视觉信息获取。 reinforcement learning scene understanding

🔬 支柱三：空间感知 (Perception & SLAM) (1 篇)

#题目一句话要点标签🔗⭐
15 Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography Optimus-Q：利用联邦学习和量子密码技术，提升核电站自适应机器人的智能化水平。 navigation

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