cs.RO（2024-10-22）

📊 共 15 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9) 支柱二：RL算法与架构 (RL & Architecture) (4) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Multimodal LLM Guided Exploration and Active Mapping using Fisher Information 提出基于多模态LLM引导和Fisher信息的主动探索与建图系统，提升机器人环境感知能力。 motion planning 3D gaussian splatting 3DGS
2 EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI EnvBridge：利用跨环境知识迁移，提升具身智能在多样化环境中的适应性。 manipulation embodied AI large language model
3 DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning DiffusionSeeder：利用扩散模型优化运动规划种子，加速机器人运动规划。 manipulation sim2real motion planning
4 Proleptic Temporal Ensemble for Improving the Speed of Robot Tasks Generated by Imitation Learning 提出前瞻性时间集成方法，加速模仿学习生成的机器人任务执行速度。 manipulation imitation learning motion generation
5 Interação entre robôs humanoides: desenvolvendo a colaboração e comunicação autônoma 探索人形机器人自主协作：NAO与Pepper在教育场景的应用 humanoid humanoid robot
6 Risk-Averse Model Predictive Control for Racing in Adverse Conditions 提出风险规避MPC，解决恶劣条件下赛车控制对模型不确定性的敏感问题 MPC model predictive control
7 Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins 提出Visuo-Skin框架，利用非校准触觉皮肤提升机器人接触密集型操作的精确性。 manipulation policy learning
8 DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning DyPNIPP：提出基于强化学习的鲁棒信息路径规划方法，用于动态环境。 domain randomization reinforcement learning
9 Minimum-Violation Temporal Logic Planning for Heterogeneous Robots under Robot Skill Failures 针对异构机器人技能失效，提出最小违背时序逻辑规划方法 manipulation

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
10 Foundation Models for Rapid Autonomy Validation 提出基于行为Foundation Model的自动驾驶验证方法，加速碰撞风险评估。 masked autoencoder MAE foundation model
11 Composing Diffusion Policies for Few-shot Learning of Movement Trajectories 提出基于扩散策略组合的DSE方法，用于机器人运动轨迹的少样本学习。 diffusion policy
12 Guiding Reinforcement Learning with Incomplete System Dynamics 利用不完备系统动力学引导强化学习，提升连续控制任务的样本效率。 reinforcement learning
13 DARE: Diffusion Policy for Autonomous Robot Exploration DARE：基于扩散策略的自主机器人探索方法 diffusion policy

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

#题目一句话要点标签🔗⭐
14 Combining Ontological Knowledge and Large Language Model for User-Friendly Service Robots 结合本体知识与大语言模型，提升服务机器人用户友好性 large language model foundation model

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

#题目一句话要点标签🔗⭐
15 Impact of 3D LiDAR Resolution in Graph-based SLAM Approaches: A Comparative Study 对比研究3D激光雷达分辨率对Graph-SLAM方法的影响，分析不同方法在城市环境下的性能。 LIO

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