5 papers
LLM-Based Agentic Exploration for Robot Navigation & Manipulation with Skill Orchestration
Abu Hanif Muhammad Syarubany, Farhan Zaki Rahmani, Trio Widianto
This paper presents an end-to-end LLM-based agentic exploration system for an indoor shopping task, evaluated in both Gazebo simulation and a corresponding real-world corridor layo…
Diffusion Posterior Sampling for Super-Resolution under Gaussian Measurement Noise
Abu Hanif Muhammad Syarubany
This report studies diffusion posterior sampling (DPS) for single-image super-resolution (SISR) under a known degradation model. We implement a likelihood-guided sampling procedure…
Adversarial and Score-Based CT Denoising: CycleGAN vs Noise2Score
Abu Hanif Muhammad Syarubany
We study CT image denoising in the unpaired and self-supervised regimes by evaluating two strong, training-data-efficient paradigms: a CycleGAN-based residual translator and a Nois…
Vehicle Classification under Extreme Imbalance: A Comparative Study of Ensemble Learning and CNNs
Abu Hanif Muhammad Syarubany
Accurate vehicle type recognition underpins intelligent transportation and logistics, but severe class imbalance in public datasets suppresses performance on rare categories. We cu…
PentaRAG: Large-Scale Intelligent Knowledge Retrieval for Enterprise LLM Applications
Abu Hanif Muhammad Syarubany, Chang Dong Yoo
Enterprise deployments of large-language model (LLM) demand continuously changing document collections with sub-second latency and predictable GPU cost requirements that classical…