cs.RO(2025-07-05)

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支柱一:机器人控制 (Robot Control) (6 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱一:机器人控制 (Robot Control) (6 篇)

#题目一句话要点标签🔗
1 Learning Humanoid Arm Motion via Centroidal Momentum Regularized Multi-Agent Reinforcement Learning 提出基于质心角动量正则化的多智能体强化学习方法,实现拟人机器人手臂运动控制。 humanoid humanoid robot whole-body control
2 Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM 提出Gaussian-LIC2,首个实现高质量、高精度、实时的激光-惯性-相机高斯溅射SLAM系统。 trajectory optimization gaussian splatting splatting
3 RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot 提出RwoR框架,通过人手动作生成机器人演示,实现无机器人策略学习。 manipulation teleoperation policy learning
4 Generalized Locomotion in Out-of-distribution Conditions with Robust Transformer 提出ROLT,通过Transformer变体提升腿式机器人在分布外环境下的鲁棒运动能力 quadruped legged robot locomotion
5 DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments DK-RRT:基于深度Koopman理论的动态空间碎片环境机械臂避碰运动规划 manipulation motion planning predictive model
6 Robust and Modular Multi-Limb Synchronization in Motion Stack for Space Robots with Trajectory Clamping via Hypersphere 提出基于超球约束的运动堆栈多肢体同步方法,用于空间机器人轨迹控制。 legged locomotion locomotion manipulation

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

#题目一句话要点标签🔗
7 Are Learning-Based Approaches Ready for Real-World Indoor Navigation? A Case for Imitation Learning 基于模仿学习的室内机器人导航,提升真实环境适应性 imitation learning multimodal

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