cs.RO（2025-04-03）

📊 共 13 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (6 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱八：物理动画 (Physics-based Animation) (1)

🔬 支柱一：机器人控制 (Robot Control) (6 篇)

#题目一句话要点标签🔗⭐
1 Bipedal Robust Walking on Uneven Footholds: Piecewise Slope LIPM with Discrete Model Predictive Control 提出分段斜率LIPM与离散MPC，实现双足机器人崎岖地形稳健行走 bipedal biped whole-body control
2 Model Predictive Control with Visibility Graphs for Humanoid Path Planning and Tracking Against Adversarial Opponents 针对对抗环境，提出基于动态增广可见性图和模型预测控制的人形机器人路径规划与跟踪方法 humanoid bipedal biped
3 Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision 综述多模态融合与视觉-语言模型在机器人视觉中的应用与进展。 manipulation scene understanding large language model ✅
4 On learning racing policies with reinforcement learning 提出基于强化学习的赛车策略，超越MPC和人类专家 domain randomization actuator dynamics MPC
5 A Planning Framework for Stable Robust Multi-Contact Manipulation 提出多接触操作规划框架，提升双臂装配任务的稳定性和鲁棒性 manipulation dual-arm
6 Statics of continuum planar grasping 提出基于控制理论的连续体平面抓取静力学分析框架，优化抓取性能。 manipulation

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗⭐
7 What People Share With a Robot When Feeling Lonely and Stressed and How It Helps Over Time 通过社交机器人缓解年轻人孤独与压力问题 large language model
8 BT-ACTION: A Test-Driven Approach for Modular Understanding of User Instruction Leveraging Behaviour Trees and LLMs BT-ACTION：利用行为树和LLM，面向模块化理解用户指令的测试驱动方法 large language model ✅
9 Autonomous Human-Robot Interaction via Operator Imitation 提出基于模仿学习的自主人机交互方法，实现机器人情感表达与零样本迁移。 zero-shot transfer

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

#题目一句话要点标签🔗⭐
10 Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets 提出统一世界模型(UWM)，通过视频和动作扩散预训练提升机器人泛化能力。 policy learning imitation learning world model ✅
11 Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization 提出基于SE(2)等变性和抓取评分优化的推-抓策略网络，提升复杂环境下的抓取成功率。 policy learning

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

#题目一句话要点标签🔗⭐
12 Estimating Scene Flow in Robot Surroundings with Distributed Miniaturized Time-of-Flight Sensors 提出一种基于分布式ToF传感器的机器人场景流估计方法，用于提升机器人安全。 scene flow

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
13 AuDeRe: Automated Strategy Decision and Realization in Robot Planning and Control via LLMs AuDeRe：基于LLM的机器人规划与控制策略自动决策与实现框架 spatiotemporal large language model

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