Balaji R. Sharma
Papers
1
Total Citations
14
H-Index
1
About
Balaji R. Sharma is a researcher whose work lies at the intersection of multi-agent robotics, control theory, and dynamical systems. His most-cited paper, “Cyclic pursuit in a multi-agent robotic system with double-integrator dynamics under linear interactions” (2013, 14 citations), makes a foundational contribution to the field of cooperative control. In this work, Sharma investigates how a team of autonomous agents, modeled with double-integrator dynamics and homogeneous controller gains, can reliably achieve a stable circular pursuit pattern from random, non-overlapping initial configurations. This problem is central to applications like surveillance, environmental monitoring, and formation flying, where decentralized coordination is key. By rigorously analyzing the convergence properties of the cyclic pursuit law, Sharma provides a theoretical framework that helps bridge the gap between idealized multi-agent models and practical robotic implementations. His work is notable for its clarity in addressing the dynamic stability of such systems under linear interactions, offering insights that are valuable for both control engineers and roboticists. Though his citation count reflects a focused, early-career impact, the paper remains a useful reference for researchers exploring decentralized formation control and pursuit-evasion strategies in multi-agent systems.
Research Focus
Key Achievements
Top Papers
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