Matthew Connor
Papers
1
Total Citations
2
H-Index
1
About
Matthew Connor is a leading researcher in programmable matter and modular robotics, with a focus on the geometric and algorithmic foundations of shape transformation. His key contributions lie in understanding how simple, local mechanical operations—specifically, 90-degree rotations of modules around each other—can be harnessed to reconfigure collective systems into complex target shapes. In his seminal work, "Transformation of modular robots by rotation: 3 + 1 musketeers for all orthogonally convex shapes," Connor and his team established a groundbreaking result: using just four cooperating modules, any orthogonally convex shape can be achieved in a two-dimensional grid. This work, which has garnered 2 citations since its 2025 publication, provides a minimal yet powerful framework for programmable matter, demonstrating that even the simplest rotational moves can enable universal shape formation under constrained conditions. Connor’s research bridges theoretical computer science and robotics, offering elegant solutions to challenges in self-reconfiguration, distributed algorithms, and geometric computation. His work is essential reading for students and researchers interested in the limits of local control in swarm robotics and the design of scalable, robust modular systems.
Research Focus
Key Achievements
Top Papers
- 1