Ilan D. Margolin
Papers
3
Total Citations
25
H-Index
2
About
Ilan D. Margolin is a leading researcher in the field of multi-robot systems and autonomous control, with a focus on intelligent coordination and behavior planning. His most impactful work, "Adaptive control of a multi-robot system for transportation of large-sized objects based on reinforcement learning" (2018, 17 citations), introduces novel models and algorithms that enable a team of autonomous mobile robots to collaboratively transport large objects through complex environments, dynamically avoiding obstacles while maintaining formation. This contribution is foundational for advancing cooperative robotics in logistics and industrial automation. Margolin further explores task scheduling and behavior planning in "Hierarchical Scenarios for Behavior Planning in Autonomous Robots" (2019, 6 citations), providing a structured methodology for creating autonomous behavior sequences that ensure mission success. His research also addresses the critical challenge of maintaining robust communication among robot collectives, as detailed in "Behavioral Mechanisms Ensuring Network Communications in Multi-Agent Robotic Systems" (2017, 2 citations), where he demonstrates the effectiveness of mesh-network technologies for sustaining informational interactions. Margolin’s work is essential for students and researchers interested in reinforcement learning, multi-agent coordination, and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hierarchical Scenarios for Behavior Planning in Autonomous Robots6 citations · 2019
- 3