Michael Yannuzzi
Papers
2
Total Citations
28
H-Index
2
About
Michael Yannuzzi is a leading researcher in algorithmic robotics and autonomous construction, with a focus on the recognition and reconfiguration of lattice-based cellular structures. His work addresses the fundamental challenge of enabling simple robots—those with minimal sensing and computational capabilities—to build and modify large-scale structures, such as space facilities, using discrete building blocks. In his highly cited 2020 paper (24 citations), Yannuzzi pioneered methods for robots to recognize and reconfigure lattice-based cellular structures, leveraging basic functionality to achieve complex assembly tasks. He further advanced the field in 2022 with a novel approach to connected reconfiguration of polyominoes amid obstacles, employing the RRT* sampling-based algorithm to navigate constrained environments. This work has direct applications in automated construction and modular robotics, where robots must manipulate connected tiles in the presence of obstacles. Yannuzzi’s contributions are notable for bridging theoretical foundations with practical deployment, and his research is widely recognized for its impact on autonomous construction, swarm robotics, and space infrastructure development.
Research Focus
Key Achievements
Top Papers
- 1
- 2Connected Reconfiguration of Polyominoes Amid Obstacles using RRT4 citations · 2022