cs.RO(2024-09-04)

📊 共 8 篇论文 | 🔗 1 篇有代码

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支柱二:RL算法与架构 (RL & Architecture) (4) 支柱一:机器人控制 (Robot Control) (2 🔗1) 支柱六:视频提取与匹配 (Video Extraction) (1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

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

#题目一句话要点标签🔗
1 Mamba as a motion encoder for robotic imitation learning 提出基于Mamba的机器人模仿学习运动编码器,提升任务成功率 imitation learning Mamba state space model
2 Reinforcement Learning for Wheeled Mobility on Vertically Challenging Terrain 提出基于强化学习的轮式机器人垂直地形导航方法,提升崎岖地形通过性。 reinforcement learning PPO
3 Hybrid Imitation-Learning Motion Planner for Urban Driving 提出混合模仿学习运动规划器,提升城市自动驾驶的安全性和拟人化程度。 imitation learning
4 Causality-Aware Transformer Networks for Robotic Navigation 提出因果感知Transformer网络(CAT)用于提升机器人导航的环境理解能力和泛化性。 reinforcement learning embodied AI

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
5 RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version) RoboTwin:基于生成式数字孪生的双臂机器人基准测试平台 manipulation dual-arm large language model
6 Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning 提出AC-SSIL框架,利用Actor-Critic和自监督模仿学习实现手术任务自动化。 manipulation reinforcement learning imitation learning

🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗
7 Dispelling Four Challenges in Inertial Motion Tracking with One Recurrent Inertial Graph-based Estimator (RING) 提出基于循环惯性图估计器(RING),解决惯性运动跟踪中的四大挑战 sparse sensors motion tracking

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

#题目一句话要点标签🔗
8 PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain 提出PIETRA:一种物理信息驱动的证据学习方法,用于提升机器人越野导航的泛化性。 traversability

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