cs.RO(2024-05-22)

📊 共 8 篇论文 | 🔗 1 篇有代码

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支柱一:机器人控制 (Robot Control) (5 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (2) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一:机器人控制 (Robot Control) (5 篇)

#题目一句话要点标签🔗
1 Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance 提出基于机器人思维链和稀疏失败指导的操控技能学习方法 manipulation imitation learning chain-of-thought
2 Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space 提出不确定性感知DRL算法,提升自动驾驶车辆在共享空间的人群导航安全性。 model predictive control reinforcement learning deep reinforcement learning
3 BenchNav: Simulation Platform for Benchmarking Off-road Navigation Algorithms with Probabilistic Traversability BenchNav:用于评估非结构化道路导航算法的概率可通行性仿真平台 motion planning traversability
4 Embodied Design for Enhanced Flipper-Based Locomotion in Complex Terrains 受海龟启发,提出一种新型鳍足机器人设计,增强复杂地形的运动能力 locomotion
5 Expansion-GRR: Efficient Generation of Smooth Global Redundancy Resolution Roadmaps 提出Expansion-GRR算法,高效生成平滑全局冗余解析路径图,加速机器人任务规划。 teleoperation

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

#题目一句话要点标签🔗
6 Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping 提出基于深度学习的状态校正方法,提升雷达动态占据栅格地图构建精度 occupancy grid
7 GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games 提出GameVLM框架,利用视觉语言模型和零和博弈提升机器人任务规划的决策能力 scene understanding multimodal

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

#题目一句话要点标签🔗
8 Neural Scaling Laws in Robotics 首次量化机器人领域神经网络扩展定律,揭示数据、模型与算力对机器人性能的影响。 large language model foundation model

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