cs.RO(2026-02-21)

📊 共 11 篇论文

🎯 兴趣领域导航

支柱一:机器人控制 (Robot Control) (6) 支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (6 篇)

#题目一句话要点标签🔗
1 Habilis-$β$: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model Habilis-β:一种快速、持久的端侧视觉-语言-动作模型,适用于真实场景部署。 humanoid manipulation distillation
2 TactEx: An Explainable Multimodal Robotic Interaction Framework for Human-Like Touch and Hardness Estimation TactEx:融合视觉、触觉和语言的可解释机器人交互框架,用于类人硬度估计 manipulation large language model multimodal
3 RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning RoboCurate:利用动作验证神经轨迹提升机器人学习多样性 humanoid manipulation dexterous manipulation
4 CLASH: Collision Learning via Augmented Sim-to-real Hybridization to Bridge the Reality Gap CLASH:通过增强的Sim-to-real混合学习弥合碰撞现实差距 sim-to-real
5 Scout-Rover cooperation: online terrain strength mapping and traversal risk estimation for planetary-analog explorations 提出基于腿式机器人侦察和地形强度映射的行星探测车安全导航方法 legged robot legged locomotion locomotion
6 Temporal-Logic-Aware Frontier-Based Exploration 提出时序逻辑感知的基于前沿探索算法,解决未知环境下自主机器人的运动规划问题 motion planning

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

#题目一句话要点标签🔗
7 When the Inference Meets the Explicitness or Why Multimodality Can Make Us Forget About the Perfect Predictor 多模态融合提升人机协作体验:显式沟通优于完美预测器 multimodal
8 GRAB: A Systematic Real-World Grasping Benchmark for Robotic Food Waste Sorting GRAB:用于机器人食物垃圾分拣的系统性真实世界抓取基准 multimodal

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
9 Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation 提出TART框架,通过时序动作表征学习实现战术资源控制和后续机动生成 representation learning contrastive learning
10 Gait Asymmetry from Unilateral Weakness and Improvement With Ankle Assistance: a Reinforcement Learning based Simulation Study 基于强化学习的肌肉骨骼模拟,研究单侧肌无力步态不对称及踝关节外骨骼辅助改善 reinforcement learning

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

#题目一句话要点标签🔗
11 Equivalence and Divergence of Bayesian Log-Odds and Dempster's Combination Rule for 2D Occupancy Grids 提出基于pignistic变换的比较方法,评估贝叶斯Log-Odds与Dempster组合规则在栅格地图构建中的优劣。 occupancy grid

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