cs.RO（2024-02-29）

📊 共 12 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (9) 支柱三：空间感知与语义 (Perception & Semantics) (2 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation 提出跨体态学习方法以提升机器人操作与导航能力 quadruped manipulation imitation learning
2 Humanoid Locomotion as Next Token Prediction 将类人步态控制视为下一个令牌预测问题 humanoid humanoid control humanoid locomotion
3 Contact-Implicit Model Predictive Control for Dexterous In-hand Manipulation: A Long-Horizon and Robust Approach 提出接触隐式模型预测控制以解决灵巧手内操作问题 locomotion manipulation in-hand manipulation
4 ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration 提出ARMCHAIR以解决人机协作中的行为预测与控制问题 model predictive control motion planning reinforcement learning
5 Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting 提出Mirage以解决机器人间零-shot策略迁移问题 manipulation cross-embodiment zero-shot transfer
6 Learning to walk in confined spaces using 3D representation 提出基于3D表示的强化学习方法以解决狭小空间行走问题 quadruped legged robot legged locomotion
7 From Flies to Robots: Inverted Landing in Small Quadcopters with Dynamic Perching 提出一种控制策略以实现小型四旋翼的倒立着陆 sim-to-real domain randomization reinforcement learning
8 High-Speed Motion Planning for Aerial Swarms in Unknown and Cluttered Environments 提出高速度无人机群运动规划框架以应对未知环境挑战 motion planning
9 TEXterity -- Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity 提出TEXterity以解决抓取物体的触觉估计与控制问题 manipulation

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

#题目一句话要点标签🔗⭐
10 MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking 提出MOSAIC以解决多机器人协作与自然语言交互问题 open-vocabulary open vocabulary human motion ✅
11 RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving 提出RoadRunner以解决自主越野驾驶的可通行性估计问题 elevation map traversability

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

#题目一句话要点标签🔗⭐
12 Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination 提出去中心化对话式方法以解决多机器人协作问题 large language model multimodal

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