cs.RO（2024-02-02）

📊 共 13 篇论文 | 🔗 6 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8 🔗4) 支柱三：空间感知与语义 (Perception & Semantics) (3) 支柱九：具身大模型 (Embodied Foundation Models) (1 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 LINGO-Space: Language-Conditioned Incremental Grounding for Space 提出LINGO-Space以解决空间定位复合指令问题 quadruped manipulation language conditioned
2 A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving 提出一种强化学习增强的运动规划框架以解决自主驾驶中的适应性与安全性问题 motion planning reinforcement learning ✅
3 Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions 提出一种层次化架构以实现可扩展的多模态模型预测控制 MPC model predictive control motion planning ✅
4 CC-VPSTO: Chance-Constrained Via-Point-Based Stochastic Trajectory Optimisation for Online Robot Motion Planning under Uncertainty 提出CC-VPSTO以解决不确定环境下机器人运动规划问题 MPC motion planning
5 A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments 提出基于高斯过程的鲁棒运动规划框架以解决自主机器人导航问题 motion planning
6 FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving 提出FRENETIX框架以解决自主驾驶路径规划问题 motion planning ✅
7 Sim-to-Real of Soft Robots with Learned Residual Physics 提出残差物理方法以缩小软机器人仿真与现实之间的差距 sim-to-real
8 Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation 提出神经轨迹模型以解决复杂环境中的轨迹规划问题 motion planning implicit representation ✅

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#题目一句话要点标签🔗⭐
9 Di-NeRF: Distributed NeRF for Collaborative Learning with Relative Pose Refinement 提出分布式NeRF以解决多机器人协作映射问题 3D reconstruction NeRF neural radiance field
10 Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach 提出雷达中心的动态占用网格映射算法以解决环境感知问题 occupancy grid
11 MagicTac: A Novel High-Resolution 3D Multi-layer Grid-Based Tactile Sensor 提出MagicTac以解决高分辨率触觉传感器的制造与性能问题 optical flow

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

#题目一句话要点标签🔗⭐
12 LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving 提出LimSim++以解决自主驾驶中的多模态大语言模型应用问题 large language model multimodal ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
13 TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks 提出TartanDrive 2.0以推动越野驾驶自监督学习研究 reinforcement learning inverse reinforcement learning representation learning ✅

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