cs.RO（2025-01-08）

📊 共 10 篇论文 | 🔗 2 篇有代码

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支柱一：机器人控制 (Robot Control) (7 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (2 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 STLCG++: A Masking Approach for Differentiable Signal Temporal Logic Specification STLCG++：一种基于掩码的可微信号时序逻辑规范方法，加速机器人时空行为推理。 trajectory optimization ✅
2 Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding FuSe：利用语言对齐微调通用机器人策略，融合异构传感器数据 manipulation vision-language-action VLA
3 "Can you be my mum?": Manipulating Social Robots in the Large Language Models Era 探索大语言模型时代社交机器人伦理风险：用户如何操纵机器人违背道德原则 manipulation large language model
4 A Survey on Path Planning Problem of Rolling Contacts: Approaches, Applications and Future Challenges 综述滚动接触路径规划：方法、应用与未来挑战 manipulation dexterous manipulation motion planning
5 Cyber-Physical Steganography in Robotic Motion Control 提出一种基于机器人运动控制的隐写术，用于秘密信息传输。 manipulation multimodal
6 Understanding Expectations for a Robotic Guide Dog for Visually Impaired People 通过用户研究探索视障人士对导盲机器人的期望与设计启示 quadruped gait control
7 Learning Robot Safety from Sparse Human Feedback using Conformal Prediction 利用保角预测，从稀疏人类反馈中学习机器人安全性 model predictive control

🔬 支柱三：空间感知与语义 (Perception & Semantics) (2 篇)

#题目一句话要点标签🔗⭐
8 OpenIN: Open-Vocabulary Instance-Oriented Navigation in Dynamic Domestic Environments 提出OpenIN，解决动态家庭环境中面向实例的开放词汇导航问题 open-vocabulary open vocabulary large language model
9 FrontierNet: Learning Visual Cues to Explore 提出FrontierNet，利用视觉线索进行高效自主探索，提升早期探索效率。 monocular depth ✅

🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗⭐
10 Improving Human-Robot Teaching by Quantifying and Reducing Mental Model Mismatch 提出基于意图反馈的MMM评分，提升人机教学效果并减少心智模型不匹配 large language model

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