Vignesh K Manoj
Papers
1
Total Citations
2
H-Index
1
About
Vignesh K Manoj is a robotics and control systems researcher whose work centers on the coordinated motion of multi-agent systems, with a particular focus on wheeled mobile robots. His most cited work, "On the design of MPC using Laguerre functions for Formation Tracking Control of Multiple Wheeled Mobile Robots" (2022), introduces a novel Model Predictive Control (MPC) framework that leverages Laguerre functions to reduce computational burden while maintaining high tracking performance. By integrating feedback linearization with linear MPC, Manoj’s approach enables efficient leader-follower formation control—a critical capability for applications in warehouse automation, search-and-rescue, and autonomous convoy operations. Though early in his career, his contributions have already garnered attention within the robotics community, with his flagship paper accumulating 2 citations. His work stands out for its practical emphasis on real-time implementability, addressing a key bottleneck in deploying advanced control strategies on resource-constrained robotic platforms. Manoj’s research bridges theoretical control design and applied robotics, offering scalable solutions for multi-robot coordination that promise to advance the state of the art in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1