Keerthna Murali
Papers
1
Total Citations
3
H-Index
1
About
Keerthna Murali is a rising researcher at the forefront of human–robot collaboration (HRC), with a focused interest in integrating soft computing algorithms into manufacturing environments. Her most-cited work, "Human–Robot Collaboration: Analyzing the Challenges and Opportunities of Integrating Soft Computing Algorithms in Manufacturing Environments" (2024), critically examines how adaptive, intelligent systems can bridge the gap between human dexterity and robotic precision. In this seminal paper, Murali identifies key challenges—such as real-time decision-making, safety protocols, and algorithmic transparency—while outlining opportunities for enhanced productivity and workplace flexibility. Her analysis has already garnered early citations, signaling its growing influence in the HRC and Industry 4.0 communities. By synthesizing insights from soft computing, robotics, and industrial engineering, Murali provides a roadmap for safer, more efficient human–robot teams. Her work is particularly notable for its practical focus on real-world manufacturing constraints, offering actionable solutions for integrating collaborative robots without compromising worker safety. As a young scholar, Murali is establishing herself as a thoughtful voice in the ongoing dialogue about the future of work, where humans and machines coexist seamlessly.
Research Focus
Key Achievements
Top Papers
- 1