Kiran Iyengar

Papers

Total Citations

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About

Kiran Iyengar is a robotics researcher specializing in autonomous multi-vehicle systems, with a particular focus on trajectory planning and formation control. His most cited work, "Smooth Trajectory Planning for Autonomous Leader-Follower Robots" (2019, 7 citations), addresses a critical challenge in robotics: enabling graceful, collision-free movement in leader-follower formations. Iyengar’s contributions lie in developing path-planning schemes that ensure safe and smooth maneuvers for multi-vehicle platooning, a technology essential for applications like autonomous convoys and warehouse logistics. While his citation count reflects an emerging career, his work is foundational for researchers tackling the intersection of motion planning and self-organizing robotic teams. Iyengar’s research bridges theoretical path optimization with practical implementation, offering algorithms that prioritize both safety and efficiency. His focus on smooth trajectory generation has implications for real-world autonomous systems, where abrupt movements can compromise stability or cargo integrity. As the field of multi-robot coordination grows, Iyengar’s early contributions provide a stepping stone for scalable, reliable formation control—a key enabler for next-generation autonomous fleets.