cs.RO（2024-12-05）

📊 共 11 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8) 支柱二：RL算法与架构 (RL & Architecture) (2) 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 NaVILA: Legged Robot Vision-Language-Action Model for Navigation 提出NaVILA，解决腿足机器人视觉-语言-动作导航问题 legged robot locomotion vision-language-action
2 Learning Dual-Arm Push and Grasp Synergy in Dense Clutter 提出一种目标导向的分层深度强化学习框架，解决密集杂乱环境中双臂协同推抓取问题。 manipulation dexterous manipulation dual-arm
3 CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model CALMM-Drive：基于置信度感知的大型多模态模型实现自动驾驶决策与规划 motion planning multimodal chain-of-thought
4 Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos 提出Moto：通过学习视频中的潜在运动Token作为桥梁语言，提升机器人操作能力。 manipulation motion tokenizer large language model
5 Reinforcement Learning from Wild Animal Videos 提出基于野生动物视频的强化学习方法，用于机器人运动技能学习 quadruped legged robot locomotion
6 Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation 提出基于物理信息的模仿学习框架，用于生成速度自适应的行走Agent humanoid locomotion sim-to-real
7 Learning Based MPC for Autonomous Driving Using a Low Dimensional Residual Model 提出基于低维残差模型的学习型MPC，提升自动驾驶车辆控制精度 MPC model predictive control
8 Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach 提出基于深度集成和一致性Tube MPC的感知不确定性下的安全自适应巡航控制 model predictive control

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

#题目一句话要点标签🔗⭐
9 Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning 提出基于强化学习的高性能自动驾驶模型，用于赛车车辆配置评估 reinforcement learning deep reinforcement learning imitation learning
10 A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks 提出动态安全盾，用于导航任务中安全高效的强化学习 reinforcement learning

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

#题目一句话要点标签🔗⭐
11 Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset 提出多相机多地图视觉惯性定位系统，实现实时、因果、有界误差的机器人定位。 visual SLAM

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