Abinav Karthikeyan

Papers

Total Citations

H-Index

About

Abinav Karthikeyan is an emerging researcher whose work focuses on the application of multi-criteria decision-making (MCDM) techniques to robotics, particularly in the domain of humanoid robots for disaster response. His most cited paper, "Selection of a Best Humanoid Robot Using 'TOPSIS' for Rescue Operation" (2022), introduces a systematic framework for evaluating and ranking humanoid robots based on performance criteria critical for search-and-rescue missions. By leveraging the TOPSIS method, Karthikeyan provides a replicable, data-driven approach to optimizing robot selection in high-stakes environments—a contribution that bridges operational research and robotics engineering. Though his citation count is early-stage (3 citations), this work signals a promising trajectory in applied decision science. His research holds practical implications for emergency response teams and roboticists, offering a structured pathway to deploy the most capable machines in life-saving scenarios. As he continues to refine his methodologies and expand into broader human-robot interaction studies, Karthikeyan stands as a thoughtful voice in the growing field of intelligent systems for humanitarian aid.