cs.RO（2023-12-21）

📊 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) (3) 支柱二：RL算法与架构 (RL & Architecture) (3 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2)

🔬 支柱一：机器人控制 (Robot Control) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Constraint-Informed Learning for Warm Starting Trajectory Optimization	提出TOAST：一种基于约束信息的学习方法，用于加速轨迹优化问题的求解。	trajectory optimization
2	EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation	提出EfficientPPS，用于机器人操作中透明物体的部件感知全景分割	manipulation
3	Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures	提出一种基于几何约束的节律轨迹学习方法，用于激光皮肤护理机器人自动化。	manipulation imitation learning

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

#	题目	一句话要点	标签	🔗	⭐
4	Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator	开源MuJoCo强化学习环境，基于Franka机械臂实现抓取操作任务	reinforcement learning	✅
5	Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System	提出模块化神经网络策略，用于机器人手-臂系统学习飞行物体抓取	reinforcement learning deep reinforcement learning
6	Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles	提出基于轨迹采样的多智能体概率集成算法MA-PETS，解决连通自动驾驶车辆的决策问题。	reinforcement learning model-based RL

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming	针对交互式机器人编程，提出一种基于领域特定微调的大语言模型方法	large language model foundation model
8	Meta-control of Dialogue Systems Using Large Language Models	提出基于LLM的元控制方法，提升对话系统稳定性和适应性。	large language model

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