K. Krishna Kumar
Papers
1
Total Citations
3
H-Index
1
About
K. Krishna Kumar is a researcher in robotics and decision science, with a focus on humanoid robot selection for critical applications. His most cited work, "Selection of a Best Humanoid Robot Using 'TOPSIS' for Rescue Operation" (2022), introduces a multi-criteria decision-making framework to evaluate and rank humanoid robots for disaster response. By applying the TOPSIS method, Kumar provides a systematic approach to choosing optimal robotic platforms based on performance, cost, and operational constraints—a contribution that bridges robotics and operations research. Though his citation count is modest at 3, this work reflects a growing interest in optimizing robotic deployment for real-world emergencies. Kumar’s research is particularly valuable for students and engineers exploring how decision theory can enhance robotic autonomy and efficiency in high-stakes environments. His work underscores the importance of rigorous selection criteria in advancing humanoid robotics for rescue missions, offering a replicable model for future studies.
Research Focus
Key Achievements
Top Papers
- 1Selection of a Best Humanoid Robot Using “TOPSIS” for Rescue Operation3 citations · 2022