cs.RO(2025-11-15)

📊 共 13 篇论文 | 🔗 1 篇有代码

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

🔬 支柱一:机器人控制 (Robot Control) (11 篇)

#题目一句话要点标签🔗
1 ARCSnake V2: An Amphibious Multi-Domain Screw-Propelled Snake-Like Robot ARCSnake V2:一种用于多域环境的螺旋推进两栖蛇形机器人 legged robot locomotion teleoperation
2 Characterization and Evaluation of Screw-Based Locomotion Across Aquatic, Granular, and Transitional Media 提出螺旋推进系统以优化水域与颗粒介质中的运动性能 locomotion
3 Learning Adaptive Neural Teleoperation for Humanoid Robots: From Inverse Kinematics to End-to-End Control 提出基于强化学习的自适应神经遥操作框架,提升人形机器人控制的自然性和鲁棒性 humanoid humanoid robot manipulation
4 SAC-MoE: Reinforcement Learning with Mixture-of-Experts for Control of Hybrid Dynamical Systems with Uncertainty 提出SAC-MoE,利用混合专家模型强化学习控制不确定性混合动力系统 legged robot legged locomotion locomotion
5 Variable Impedance Control for Floating-Base Supernumerary Robotic Leg in Walking Assistance 针对步态辅助外骨骼,提出变阻抗控制以提升人机交互安全性和适应性 gait walking
6 Evaluating Model-Agnostic Meta-Learning on MetaWorld ML10 Benchmark: Fast Adaptation in Robotic Manipulation Tasks 评估MAML在MetaWorld ML10上的性能:机器人操作任务中的快速适应 manipulation
7 Innovative Design of Multi-functional Supernumerary Robotic Limbs with Ellipsoid Workspace Optimization 提出基于椭球工作空间优化的多功能外骨骼机器人创新设计 walking grasping grasp
8 Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version) 提出RE-DPG框架以解决动态不确定环境中的多智能体安全运动规划问题 motion planning
9 Decoupled Action Head: Confining Task Knowledge to Conditioning Layers 提出解耦行为克隆训练方法,提升机器人操作任务的训练效率与泛化性。 manipulation behavior cloning diffusion policy
10 Multilaminate piezoelectric PVDF actuators to enhance performance of soft micro robots 多层压电PVDF驱动器提升软体微型机器人性能 locomotion
11 Towards Obstacle-Avoiding Control of Planar Snake Robots Exploring Neuro-Evolution of Augmenting Topologies 利用神经进化拓扑结构,实现平面蛇形机器人在复杂环境下的避障控制 gait

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
12 Bootstrapped LLM Semantics for Context-Aware Path Planning 提出基于LLM的语义感知路径规划方法以提升机器人导航能力 semantic map large language model

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

#题目一句话要点标签🔗
13 SocialNav-Map: Dynamic Mapping with Human Trajectory Prediction for Zero-Shot Social Navigation SocialNav-Map:结合动态地图与轨迹预测的零样本社交导航 reinforcement learning navigation

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