Neeraj Khera
Papers
1
Total Citations
6
H-Index
1
About
Neeraj Khera is a researcher whose work bridges artificial intelligence, robotics, and game theory, with a focus on developing intelligent systems for interactive problem-solving. His most-cited paper, "An intelligent method for solving TIC-TAC-TOE problem" (2015, 6 citations), demonstrates a novel integration of AI and robotics by implementing a tic-tac-toe-solving robot using the NXT Lego Mindstorms kit. In this work, Khera designed a robot that uses a light sensor to scan a 3×3 grid matrix, identifying cells after each opponent move to autonomously play the game. This contribution showcases his ability to translate abstract AI concepts into tangible, real-world robotic applications, offering a hands-on approach to teaching and exploring intelligent decision-making. While his citation count is modest, Khera’s work is notable for its educational value and practical demonstration of AI principles in robotics. His research interests lie at the intersection of intelligent systems, automation, and human-robot interaction, making his contributions particularly relevant for students and researchers exploring foundational AI implementations in physical systems.
Research Focus
Key Achievements
Top Papers
- 1An intelligent method forsolving TIC-TAC-TOE problem6 citations · 2015