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Author

Bulent Soykan

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Sep 2026

Physics-Constrained Procedural Generation of Synthetic Environments for the Robust Validation of Autonomous Maneuver and Logistics

The validation of Autonomous Ground Vehicles (AGVs) and intelligent logistics planners is frequently compromised by the ”Sim-to-Real” gap, where simulation environments fail to replicate the physical friction of operational deployment. Ideally, valid test cases must enforce strict mobility constraints and impose realis...

Bulent Soykan, G. Rabadi, G. Bochenek et al. · 0 citations
Open access Aug 2026

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

The Heterogeneous Graph Transformer (HGT)‐Scheduler is proposed, a reinforcement learning framework that explicitly models the JSSP as a heterogeneous graph, demonstrating that explicitly modeling edge semantics improves reinforcement learning for intelligent job shop scheduling.

Bulent Soykan, Fatih Kasimoğlu · 0 citations

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