cs.RO（2024-06-12）

📊 共 12 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8 🔗4) 支柱二：RL算法与架构 (RL & Architecture) (2) 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) (8 篇)

#题目一句话要点标签🔗⭐
1 Three-dimensional Trajectory Optimization for Quadrotor Tail-sitter UAVs: Traversing through Given Waypoints 针对四旋翼尾座式无人机，提出一种三维轨迹优化方法，实现给定航路点间的灵活飞行。 MPC model predictive control trajectory optimization
2 Adaptive Nonlinear Model Predictive Control for a Real-World Labyrinth Game 提出一种自适应非线性模型预测控制方法，用于解决现实迷宫游戏中的控制问题。 model predictive control
3 RVT-2: Learning Precise Manipulation from Few Demonstrations RVT-2：从少量演示中学习精确操作，提升机器人操作精度与效率 manipulation ✅
4 A Hybrid Task-Constrained Motion Planning for Collaborative Robots in Intelligent Remanufacturing 提出一种混合任务约束运动规划算法，用于智能再制造中协作机器人的安全路径规划。 motion planning
5 Scaling Manipulation Learning with Visual Kinematic Chain Prediction 提出基于视觉运动链预测的VKT模型，扩展机器人操作学习至多样化环境 manipulation ✅
6 Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments Chemistry3D：用于化学实验的机器人交互基准平台 manipulation sim2real ✅
7 Highly agile flat swimming robot 提出一种高机动性微型水面游泳机器人，用于复杂水域环境监测。 locomotion
8 100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems 构建驾驶风格自然数据集，助力以人为本的智能驾驶系统 manipulation ✅

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

#题目一句话要点标签🔗⭐
9 Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control 利用TPE优化SAC和PPO算法，提升七自由度机械臂控制性能 reinforcement learning deep reinforcement learning PPO
10 Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty 提出一种分层强化学习方法，解决高不确定性下集群对抗问题 reinforcement learning deep reinforcement learning

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

#题目一句话要点标签🔗⭐
11 LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models LLM-Craft：利用大语言模型进行弹性-塑性物体机器人雕塑 large language model

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

#题目一句话要点标签🔗⭐
12 Learning-based Traversability Costmap for Autonomous Off-road Navigation 提出一种基于学习的越野自主导航地形可通行性代价地图预测方法 traversability

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