Arijit Ganguly
Papers
1
Total Citations
10
H-Index
1
About
Dr. Arijit Ganguly is a rising researcher in the field of multi-agent robotic systems and control theory, with a particular focus on consensus-based formation tracking and the application of Negative Imaginary (NI) dynamics. His most cited work, a 2022 brief proposing a novel consensus-based formation tracking scheme for a class of robotic systems, leverages NI theory to address stable uncertainties in networked single-integrator agents. This contribution offers a robust framework for coordinating multi-robot teams, enabling precise formation control even under system uncertainties—a critical challenge in autonomous swarms. With 10 citations on this key paper, Dr. Ganguly’s work is gaining traction among control engineers and roboticists. His research bridges theoretical control methods with practical robotic applications, promising advancements in areas like drone swarms and industrial automation. As an emerging scholar, his innovative use of NI properties to ensure stability and consensus in dynamic networks marks him as a notable contributor to the next generation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1