Ph.D. Thesis
Development of a Decentralised Reinforcement Learning Framework for Optimised Task Scheduling in Multi-Agent Robotic Systems
My research sits at the intersection of artificial intelligence, robotics, and intelligent systems — focused on decentralised learning, computer vision, and resource-constrained computing for real-world problems.
Development of a Decentralised Reinforcement Learning Framework for Optimised Task Scheduling in Multi-Agent Robotic Systems
Interactive Robot Navigation in Dynamic Environments
Development of a Steganography-Based System for Telemedicine Systems
Whether it’s a research collaboration, a joint publication, or a funded project — I’d like to hear about it.