Ajinkya Pawar
Papers
1
Total Citations
21
H-Index
1
About
Dr. Ajinkya Pawar is a researcher in control systems and multi-agent coordination, with a focus on resilient and distributed decision-making under communication constraints. His most cited work, "A novel leader following consensus approach for multi-agent systems with data loss" (2017, 21 citations), addresses a critical challenge in networked systems: maintaining consensus when agents experience intermittent data loss. This contribution is foundational for applications like drone swarms and autonomous vehicle platoons, where reliable communication is not guaranteed. By proposing a robust leader-following framework, Pawar’s research enhances the fault tolerance of multi-agent networks, directly impacting fields such as robotics, cyber-physical systems, and industrial automation. His work is recognized for bridging theoretical consensus algorithms with practical real-world constraints, earning citations from peers developing resilient control strategies. Pawar’s achievements highlight his role in advancing the reliability of distributed systems, making his research essential reading for students and engineers tackling communication failures in multi-agent environments.
Research Focus
Key Achievements
Top Papers
- 1