Sonal Jain
Papers
1
Total Citations
6
H-Index
1
About
Sonal Jain is a robotics and artificial intelligence researcher whose work bridges the gap between theoretical problem-solving and tangible, interactive systems. Her primary research focuses on intelligent algorithms, human-robot interaction, and the application of AI in constrained, real-world environments. Her most cited work, "An intelligent method for solving TIC-TAC-TOE problem" (2015), with 6 citations, exemplifies her approach: rather than simply coding a digital solution, Jain engineered a physical robot using the NXT Lego Mindstorms kit to scan a 3×3 grid with a light sensor, interpret opponent moves, and respond autonomously. This contribution is notable for demonstrating how classic game theory can be implemented in embodied systems, offering a hands-on platform for teaching AI and robotics. By integrating sensor feedback with decision-making logic, Jain’s work provides a foundational model for more complex autonomous systems. Her research serves as an accessible entry point for students and researchers interested in the intersection of robotics, computer vision, and intelligent decision-making, proving that even simple games can yield profound insights into machine intelligence.
Research Focus
Key Achievements
Top Papers
- 1An intelligent method forsolving TIC-TAC-TOE problem6 citations · 2015