cs.RO（2025-01-24）

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支柱一：机器人控制 (Robot Control) (8 🔗2) 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)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations YOTO：仅需一次视频演示，学习单样本双臂机器人操作 manipulation bi-manual dual-arm ✅
2 SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation SKIL：基于语义关键点的模仿学习，提升机器人操作的泛化性和数据效率 manipulation imitation learning cross-embodiment ✅
3 Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation 提出基于噪声条件能量模型的退火奖励模仿学习框架，解决机器人运动策略学习问题。 humanoid locomotion reinforcement learning
4 Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent 通过随机化提升机器人深度强化学习智能体在Sim-to-Real迁移中的鲁棒性 sim-to-real reinforcement learning deep reinforcement learning
5 Temporal Binding Foundation Model for Material Property Recognition via Tactile Sequence Perception 提出基于触觉序列感知的时序绑定基础模型，用于材料属性识别 manipulation foundation model
6 Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks 提出基于力反馈的机器人模仿学习两阶段法，用于提升建筑装配任务的效率和安全性 manipulation imitation learning
7 Robustified Time-optimal Point-to-point Motion Planning and Control under Uncertainty 提出一种鲁棒的时间最优点到点运动规划与控制方法，解决不确定性下的运动规划问题。 motion planning
8 Optimizing Grasping Precision for Industrial Pick-and-Place Tasks Through a Novel Visual Servoing Approach 提出一种新型视觉伺服方法，优化工业抓取放置任务的精度，提升复杂环境下的鲁棒性。 manipulation

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

#题目一句话要点标签🔗⭐
9 HAMMER: Heterogeneous, Multi-Robot Semantic Gaussian Splatting 提出HAMMER，解决多机器人异构数据流实时语义高斯溅射地图重建问题。 3D gaussian splatting 3DGS gaussian splatting

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

#题目一句话要点标签🔗⭐
10 Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight 提出基于DreamerV3的视觉无人机模型强化学习方法，实现端到端自主飞行。 reinforcement learning PPO imitation learning

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