eess.SY（2026-10-21）

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支柱二：RL算法与架构 (RL & Architecture) (3 🔗1) 支柱一：机器人控制 (Robot Control) (3) 支柱九：具身大模型 (Embodied Foundation Models) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	Safe World Model for Joint Trajectory and Beamforming Design of Mobile Base Stations	提出安全世界模型以优化移动基站的轨迹与波束形成设计	reinforcement learning policy learning world model
2	A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment	综述学习控制方法以提升自主系统的可靠性与安全性	reinforcement learning imitation learning	✅
3	Machine Learning-Enabled Wireless Power Transfer: A Task-Oriented Review of Structural Optimization, State and Parameter Estimation, and Adaptive Control	提出基于机器学习的无线电力传输优化框架以应对多变环境	reinforcement learning reward design

🔬 支柱一：机器人控制 (Robot Control) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
4	Certified Neural Approximation of Robust Nonlinear Model Predictive Control	提出神经网络控制器以解决模型预测控制的高计算成本问题	MPC model predictive control
5	SAFTER: Safety-Aware Filtering Through Explicit Recoverability for Robust Reinforcement Learning under Distribution Shift	提出SAFTER以解决强化学习中的安全性与可恢复性问题	quadruped reinforcement learning SAC
6	Constrained Koopman Control Parametrization: Convex Controller Synthesis for Tracking under Input Constraints	提出约束Koopman控制参数化以解决输入约束下的跟踪问题	model predictive control

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

#	题目	一句话要点	标签	🔗	⭐
7	SatCraft: Agentic Optimization of Scheduling Policies for Satellite-Cellular Edge Services	提出SatCraft框架以优化卫星-蜂窝边缘服务调度策略	large language model

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