cs.RO(2026-03-31)

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支柱一:机器人控制 (Robot Control) (5 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱一:机器人控制 (Robot Control) (5 篇)

#题目一句话要点标签🔗
1 DreamControl-v2: Simpler and Scalable Autonomous Humanoid Skills via Trainable Guided Diffusion Priors DreamControl-v2:通过可训练的引导扩散先验实现更简单且可扩展的自主人形机器人技能 legged locomotion humanoid humanoid robot
2 DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA DIAL通过潜在世界建模解耦意图与动作,实现端到端VLA控制。 humanoid humanoid robot manipulation
3 Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models 提出基于强化学习与大语言模型的混合机器人操作框架,提升任务效率。 manipulation sim-to-real reinforcement learning
4 RAAP: Retrieval-Augmented Affordance Prediction with Cross-Image Action Alignment 提出RAAP框架,通过检索增强和跨图像动作对齐实现鲁棒的Affordance预测。 manipulation affordance
5 IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction IMPASTO:融合模型预测控制与学习动态模型的机器人油画创作系统 model predictive control

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

#题目一句话要点标签🔗
6 Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity 提出大规模并行肌肉骨骼行为仿真框架以解决运动控制问题 reinforcement learning deep reinforcement learning reward design

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