Papers
14
Total Citations
94
H-Index
7
About
Abdallah Makhoul is a researcher whose work sits at the intersection of distributed computing, modular robotics, and programmable matter. His research has made substantial contributions to the design and coordination of large-scale modular robotic systems, addressing fundamental challenges such as self-reconfiguration, distributed clustering, and shape recognition in environments constrained by limited computational resources. His most influential work includes the development of RePoSt, a self-reconfiguration algorithm exploiting porous 3D structures to enable parallel, non-blocking module flow, and several distributed clustering frameworks that enhance scalability and energy efficiency in systems composed of potentially millions of interconnected modules. Makhoul has also tackled the deceptively complex problem of unique identifier assignment in resource-constrained modular systems, a foundational contribution that underpins coordination at scale. Beyond robotics, his research extends into multi-agent path finding algorithm selection and large-scale synthetic dataset generation for industrial object recognition, demonstrating notable breadth. With key publications accumulating citations in the range of 5 to 14 and a growing body of work spanning 2020 to 2024, Makhoul represents an emerging and productive voice in autonomous distributed systems research, whose contributions are increasingly shaping how the robotics community approaches programmable matter and collective intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self-Reconfiguration of Modular Robots Using Virtual Forces10 citations · 2021
- 3
- 4A Unique Identifier Assignment Method for Distributed Modular Robots8 citations · 2020
- 5
- 6
- 7
- 8
- 9Distributed Shape Recognition Algorithm for Lattice-Based Modular Robots6 citations · 2023
- 10