Titus Tang Jia Jie

Monash University, Monash University Malaysia

Papers

Total Citations

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About

Titus Tang Jia Jie is a researcher specializing in swarm intelligence, autonomous robotics, and bio-inspired optimization algorithms, with a particular focus on applying nature-driven computational methods to real-world navigation challenges. His most recognized contributions center on the development and refinement of Ant Colony Optimization (ACO) algorithms tailored for mobile robot navigation. By drawing inspiration from the collective foraging behavior of ants, Tang has worked to engineer more efficient pathfinding solutions that enable robots to perform complex tasks such as goal-seeking, wall-following, and dynamic obstacle avoidance. His 2016 paper on an amended ACO algorithm for mobile robot navigation has garnered 11 citations, while his earlier 2010 work on improved ACO for robot navigation has accumulated 8 citations — together reflecting a sustained and evolving research trajectory in intelligent robotics spanning over a decade. These contributions demonstrate his commitment to advancing the performance and reliability of autonomous systems through algorithmic innovation. For students and researchers working at the intersection of artificial intelligence and robotics, Tang's iterative approach to refining swarm-based optimization techniques offers valuable insight into how bio-inspired strategies can be systematically improved to meet the demands of practical robotic applications.