Latest Research in Optimization and Control

Top Research Topics in Optimization and Control

• Robotics — 11 papers
• Optimization and Control — 4 papers
• Systems and Control — 2 papers
• Multiagent Systems — 2 papers
• Soil Mechanics and Vehicle Dynamics — 1 papers
• Machine Learning — 1 papers
• Adaptive Dynamic Programming Control — 1 papers
• Neural and Evolutionary Computing — 1 papers
• Robotic Path Planning Algorithms — 1 papers
• Vibration Control and Rheological Fluids — 1 papers

Highest-Cited Papers

1. Multi-agent cooperative control for unmanned distributed-drive electric agricultural vehicle in paddy fields: tracking, stability, and energy-aware torque allocation
2. Neural-Primitive: An Efficient End-to-end Local Planner with Primitive-based Imitation Learning for Autonomous Flight
3. Sampling-Based Coordination-Informed Multi-Objective Multi-Robot Reinforcement Learning
4. SafePG: Safe and Globally Optimal Reinforcement Learning with Hard Constraints
5. Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings
6. Deep Reinforcement Learning with State Uncertainty Estimation for Continuous Control of Dynamic Complex Systems
7. Learning Agent-based Model Predictive Control for Holistic Vehicle Performance
8. McCormick relaxations for PDE-constrained optimization on multi-dimensional domains
9. Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
10. Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level
11. Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
12. Race, Exchange, Improve: Finding high-quality MIP solutions quickly
13. Coupled Control and Wireless World Models for Resilient Remote Robotic Control
14. Nash-Bargaining HalpernSGD via Limited-Memory MultiLRSGA: A Two-Phase Optimizer for Multi-Objective Learning
15. LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization
16. Deep Reinforcement Learning for Reach-Avoid-Stay Problems
17. AM-Bench: A Modular Simulation Suite and Benchmark for Aerial Manipulation Policy Learning
18. SleepWalking: Privileged Representation Shaping for End-to-End Blind Locomotion in Legged Robots
19. ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies
20. FALCON-MASAC: Formation-Aware Attention-Enhanced Leader-Guided Control-Barrier Optimization for Safe Multi-UAV Formation Navigation in Dynamic 3-D Environments