cs.RO（2025-10-12）

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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) (2)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting RoboSimGS：利用高斯溅射生成高保真模拟数据，实现零样本机器人操作学习 manipulation sim-to-real sim2real
2 Preference-Conditioned Multi-Objective RL for Integrated Command Tracking and Force Compliance in Humanoid Locomotion 提出偏好条件的多目标强化学习以解决人形机器人运动中的指令跟踪与力反馈问题 humanoid humanoid robot humanoid locomotion
3 Towards Dynamic Quadrupedal Gaits: A Symmetry-Guided RL Hierarchy Enables Free Gait Transitions at Varying Speeds 提出一种对称性引导的强化学习框架，实现四足机器人不同速度下的自由步态转换。 quadruped locomotion Unitree
4 Real2USD: Scene Representations in Universal Scene Description Language 提出Real2USD系统，利用通用场景描述语言USD赋能LLM机器人场景理解与规划 quadruped Unitree neural radiance field ✅
5 UniCoD: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning UniCoD：通过统一连续和离散表示学习增强机器人策略 manipulation policy learning representation learning
6 Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving 提出基于强化学习的动态自适应采样运动规划，用于敏捷自主驾驶 motion planning reinforcement learning
7 Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning 提出ROGER算法，通过在线调整奖励增益实现约束下的机器人运动学习 quadruped locomotion
8 Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control 提出基于Population-coded SNN的DRL框架，用于高维机器人控制中的节能问题。 manipulation reinforcement learning deep reinforcement learning
9 Contact Sensing via Joint Torque Sensors and a Force/Torque Sensor for Legged Robots 提出基于力矩传感器融合的腿式机器人接触感知方法 legged robot
10 SpikeGrasp: A Benchmark for 6-DoF Grasp Pose Detection from Stereo Spike Streams SpikeGrasp：基于立体脉冲事件流的6自由度抓取姿态检测基准 manipulation

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
11 Controllable Generative Trajectory Prediction via Weak Preference Alignment 提出PrefCVAE以解决可控多样性轨迹预测问题 multimodal
12 AI-Agents for Culturally Diverse Online Higher Education Environments 提出利用生成式AI驱动的文化感知AI-Agent，以提升在线高等教育环境中的学生参与度和学习效果。 large language model

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