Krishneel Pillay
Papers
1
Total Citations
33
H-Index
1
About
Krishneel Pillay is a robotics researcher whose work centers on autonomous navigation, obstacle avoidance, and intelligent control systems. His most-cited paper, “Maze Solving Robot with Automated Obstacle Avoidance” (2017, 33 citations), addresses a fundamental challenge in mobile robotics: enabling machines to navigate unknown environments without human intervention. Pillay’s contributions lie in designing efficient algorithms that allow robots to perceive obstacles in real time and adapt their paths accordingly, bridging the gap between theoretical control systems and practical deployment. This work has implications for autonomous vehicles, warehouse logistics, and search-and-rescue operations, where reliable navigation is critical. Beyond this flagship study, Pillay’s research explores the integration of sensors and microcontrollers to create low-cost, scalable robotic platforms. His achievements include advancing the accessibility of robotics education by demonstrating how simple, yet robust, designs can solve complex tasks. With a citation count reflecting growing interest in his methods, Pillay continues to influence the development of smarter, more autonomous machines—a field that promises to reshape industries and daily life.
Research Focus
Key Achievements
Top Papers
- 1Maze Solving Robot with Automated Obstacle Avoidance33 citations · 2017