6 papers
Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty
Prakash Aryan, Kaushik Raghupathruni, Timo Kehrer +1
Simulation-based testing of self-driving cars (SDCs) typically relies on scripted pedestrian models that do not capture the heterogeneity and uncertainty of real crossing behavior,…
MR-SLAM: Immersive Spatial Supervision for Multi-Robot Mapping via Mixed Reality
Prakash Aryan, Cem Erdogdu, Kavinaya Kumarchokkappan +2
Operating a multi-robot fleet for simultaneous localization and mapping (SLAM) in applications such as building inspection or warehouse-aisle monitoring requires the operator to ma…
Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing
Prakash Aryan
This paper presents a novel approach to fine-tuning the Qwen2-1.5B model for Arabic language processing using Quantized Low-Rank Adaptation (QLoRA) on a system with only 4GB VRAM.…
LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments
Prakash Aryan
This paper introduces DebateBrawl, an innovative AI-powered debate platform that integrates Large Language Models (LLMs), Genetic Algorithms (GA), and Adversarial Search (AS) to cr…
Designing a Secure, Scalable, and Cost-Effective Cloud Storage Solution: A Novel Approach to Data Management using NextCloud, TrueNAS, and QEMU/KVM
Prakash Aryan, Sujala Deepak Shetty
This paper presents a novel approach to cloud storage challenges by integrating NextCloud, TrueNAS, and QEMU/KVM. Our research demonstrates how this combination creates a robust, f…
An Experimental Framework for Implementing Decentralized Autonomous Database Systems in Rust
Prakash Aryan, Radhika Khatri, Vijayakumar Balakrishnan
This paper presents an experimental framework for implementing Decentralized Autonomous Database Systems (DADBS) using the Rust programming language. As traditional centralized dat…