eess.SY(2025-08-27)

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支柱一:机器人控制 (Robot Control) (3) 支柱二:RL算法与架构 (RL & Architecture) (2 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (1) 支柱四:生成式动作 (Generative Motion) (1)

🔬 支柱一:机器人控制 (Robot Control) (3 篇)

#题目一句话要点标签🔗
1 Regulation-Aware Game-Theoretic Motion Planning for Autonomous Racing 提出基于规制意识的博弈论运动规划以解决自主赛车问题 model predictive control motion planning
2 Distributed Safety-Critical MPC for Multi-Agent Formation Control and Obstacle Avoidance 提出分布式安全关键模型预测控制以解决多智能体编队控制与避障问题 MPC model predictive control
3 Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition 提出结合随机与鲁棒优化的方法以解决电动自主按需出行问题 MPC model predictive control

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

#题目一句话要点标签🔗
4 Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing 提出基于强化学习的通用帕累托最优卸载框架以解决移动边缘计算问题 reinforcement learning SAC
5 Hybrid ML-RL Approach for Smart Grid Stability Prediction and Optimized Control Strategy 提出混合机器学习与强化学习框架以解决智能电网稳定性预测问题 reinforcement learning PPO

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

#题目一句话要点标签🔗
6 Large Language Models (LLMs) for Electronic Design Automation (EDA) 利用大语言模型提升电子设计自动化效率 large language model

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
7 Symbolic Equation Modeling of Composite Loads: A Kolmogorov-Arnold Network based Learning Approach 提出基于Kolmogorov-Arnold网络的复合负荷建模方法以提高可解释性 penetration

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