cs.RO（2023-12-04）

📊 共 11 篇论文 | 🔗 2 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) (4) 支柱九：具身大模型 (Embodied Foundation Models) (1 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning	提出多模态MPPI与主动推理的反应式任务与运动规划方法，提升机器人操作的鲁棒性。	manipulation motion planning task and motion planning
2	Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing	提出基于视觉触觉融合的机器人触觉共感系统，实现灵巧的机械臂手内操作	manipulation in-hand manipulation sim2real	✅
3	Model Predictive Control Approach to Autonomous Formation Flight	提出基于模型预测控制的无人机编队飞行自主控制方法	MPC model predictive control
4	Multi-Agent Behavior Retrieval: Retrieval-Augmented Policy Training for Cooperative Push Manipulation by Mobile Robots	提出基于检索增强的多智能体策略训练方法，解决移动机器人协同推箱操作中的数据效率问题。	manipulation imitation learning
5	Cooperative vs. Teleoperation Control of the Steady Hand Eye Robot with Adaptive Sclera Force Control: A Comparative Study	针对眼科手术，提出自适应巩膜力控制的遥操作Steady-Hand Eye机器人系统	teleoperation

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

#	题目	一句话要点	标签	🔗	⭐
6	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention	SARA-RT：通过自适应鲁棒注意力扩展机器人Transformer，实现高效的机器人部署。	linear attention vision-language-action VLA
7	Autonomous and Adaptive Role Selection for Multi-robot Collaborative Area Search Based on Deep Reinforcement Learning	提出基于深度强化学习的多机器人协同区域搜索自主自适应角色选择方法	reinforcement learning deep reinforcement learning
8	Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters	提出基于强化学习与预测安全滤波器的船舶模块化控制架构，保障航行安全。	reinforcement learning
9	Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning	提出基于强化学习的集成式钻臂寻孔控制方法，提升钻孔效率和精度。	reinforcement learning

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

#	题目	一句话要点	标签	🔗	⭐
10	LLM A: Human in the Loop Large Language Models Enabled A Search for Robotics	提出LLM A框架，利用大语言模型辅助机器人A搜索，实现人机协同路径规划	large language model	✅

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

#	题目	一句话要点	标签	🔗	⭐
11	SE-LIO: Semantics-enhanced Solid-State-LiDAR-Inertial Odometry for Tree-rich Environments	提出语义增强的固态激光雷达惯性里程计，用于树木丰富的环境	LIO

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