Michael Arock

National Institute of Technology Tiruchirappalli

Papers

Total Citations

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About

Michael Arock’s research lies at the intersection of bio-inspired computing, swarm robotics, and parallel architectures. His most notable contribution is a pioneering DNA algorithm that leverages temperature gradients to solve the Freeze-Tag Problem in swarm robotics—a challenge of awakening sleeping robots efficiently. By harnessing the thermodynamic properties of DNA strands alongside biochemical operations, Arock introduced a novel, biologically grounded approach to optimizing robot wake-up sequences, earning 7 citations for this innovative work. He also advanced robot path planning with a parallel algorithm for the Linear Array with Reconfigurable Pipelined Bus System (LARPBS), using Voronoi diagrams and d4 distance metrics to achieve efficient, VLSI-friendly navigation without extra hardware overhead. Additionally, Arock developed a Huffman decoding algorithm tailored for mobile robot platforms, demonstrating practical compression techniques for onboard data processing. Though his citation counts are modest, his work stands out for its creative fusion of DNA computing and robotics—a niche that inspires further exploration into unconventional computational paradigms for autonomous systems.