Jerome Moses Monsingh

IITB-Monash Research Academy

Papers

2

Total Citations

13

H-Index

2

About

Jerome Moses Monsingh is a researcher whose work lies at the intersection of distributed control systems, multi-agent coordination, and formation dynamics. His primary research focus is on the design of consensus-based strategies that enable groups of mobile agents—modeled as single- and double-integrator kinematic systems—to generate complex, coordinated trochoidal patterns. In his most cited work, "Trochoidal patterns generation using generalized consensus strategy for single-integrator kinematic agents" (2018, 10 citations), he introduced a foundational distributed control law that allows agents to converge to these elegant, rolling curves without centralized supervision. Building on this, his 2023 paper extends the approach to double-integrator dynamics, addressing the more realistic case of agents with inertia and acceleration constraints. This generalization is significant for applications in drone swarms, robotic exploration, and surveillance, where smooth, coordinated motion is critical. Though early in his career, Monsingh’s contributions are gaining traction for their theoretical elegance and practical potential. His work exemplifies how consensus algorithms can be creatively repurposed to produce not just agreement, but beautiful, functional group behaviors in multi-robot systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Trochoidal patterns generation using generalized consensus strategy for single-integrator kinematic agents
10 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: IITB-Monash Research Academy

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago