Real-time simulation of tracked skid-steer vehicles is frequently bottlenecked by the computational cost of track– terrain interaction models. To address this, we replace the physics-based terramechanics function in a Simulink model with a neural network surrogate tailored for hardware-in-the-loop deployment. We train...
Huseyin Sanli, M. Ö. Efe· International Conference on...· 0 citations
This study is the first to perform an in-depth, algorithm-level breakdown of ENAS research, covering evolutionary strategies (ES), genetic algorithms (GA) and their derivatives, Particle Swarm Optimization (PSO), Differential Evolution (DE), Quantum-Inspired Evolutionary Algorithms (QIEA), and other heuristics.
Ferda Nur Özçelik, M. Ö. Efe· Turkish J. Electr. Eng. Comp...· 1 citation
This work investigates a reinforcement learning-based control framework for the autonomous movement and coordination of multiple Unmanned Aerial Vehicles (UAVs) in a wireless communication environment. The considered system includes UAVs performing sensing and relaying tasks, where mobility decisions directly affect th...
Berke Kilinç, M. Ö. Efe· International Conference on...· 0 citations
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