cs.RO（2023-12-06）

📊 共 10 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (7 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (3)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer 研究机器人操作学习中动作空间选择对性能和Sim-to-Real迁移的影响 manipulation sim-to-real reinforcement learning
2 SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes SoftMAC：提出基于预测的接触模型，实现软体、刚体和布料的双向可微耦合仿真。 manipulation penetration differentiable simulation ✅
3 Diffused Task-Agnostic Milestone Planner 提出基于扩散模型的任务无关里程碑规划器，用于解决长期规划、视觉控制和多任务决策问题。 manipulation reinforcement learning offline RL
4 Deep Learning for Koopman-based Dynamic Movement Primitives 提出基于Koopman算子和动态运动原语的深度学习方法，解决机器人少量演示学习问题 locomotion manipulation dexterous manipulation
5 Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain 提出基于触觉感知的蛇形机器人导航框架，提升复杂地形适应性 locomotion reinforcement learning curriculum learning
6 VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation 提出VLFM，利用视觉-语言模型实现零样本语义导航 manipulation mobile manipulation
7 Irrotational Contact Fields 提出基于无旋接触场的凸近似方法，实现复杂接触模型的高效可微模拟 sim-to-real

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
8 MIRACLE: Inverse Reinforcement and Curriculum Learning Model for Human-inspired Mobile Robot Navigation MIRACLE：用于人启发式移动机器人导航的逆强化学习与课程学习模型 reinforcement learning curriculum learning
9 Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning 探索性轨迹模仿学习提升具身智能体规划能力，优于其他辅助损失预训练 policy learning imitation learning embodied AI
10 Task-Parameterized Imitation Learning with Time-Sensitive Constraints 提出时序约束的参数化模仿学习方法，提升机器人操作精度 imitation learning

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