cs.RO（2026-01-23）

📊 共 8 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (5 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	ReViP: Reducing False Completion in Vision-Language-Action Models with Vision-Proprioception Rebalance	ReViP：通过视觉-本体感受重平衡减少VLA模型中的虚假完成	manipulation vision-language-action VLA
2	Sim-to-Real Transfer via a Style-Identified Cycle Consistent Generative Adversarial Network: Zero-Shot Deployment on Robotic Manipulators through Visual Domain Adaptation	提出基于StyleID-CycleGAN的Sim-to-Real迁移方法，实现机器人操作的零样本部署。	sim-to-real reinforcement learning deep reinforcement learning
3	Adaptive Reinforcement and Model Predictive Control Switching for Safe Human-Robot Cooperative Navigation	提出ARMS框架，解决人机协作导航中安全性和机动性兼顾的难题。	MPC model predictive control reinforcement learning	✅
4	Zero-Shot MARL Benchmark in the Cyber-Physical Mobility Lab	提出基于CPM Lab的零样本MARL迁移学习基准测试平台	sim-to-real motion planning reinforcement learning
5	RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways	RENEW：动态水域中风险与能量感知的自主水面艇导航	trajectory optimization

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

#	题目	一句话要点	标签	🔗	⭐
6	Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators	提出基于语义知识增强的深度强化学习方法，提升机器人操作效率。	reinforcement learning deep reinforcement learning DRL
7	Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture	提出基于强化学习的能量感知覆盖路径规划方法，用于精准农业机器人。	reinforcement learning SAC

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

#	题目	一句话要点	标签	🔗	⭐
8	A Multimodal Data Collection Framework for Dialogue-Driven Assistive Robotics to Clarify Ambiguities: A Wizard-of-Oz Pilot Study	提出一种多模态数据采集框架，用于对话驱动辅助机器人消除歧义	multimodal

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