Papers

2

Total Citations

30

H-Index

2

About

John Mamish’s research lies at the intersection of modular robotics, swarm intelligence, and decentralized control, with a focus on enabling scalable, manufacturable robot collectives. His major contributions include developing a decentralized control framework for 3D M-Blocks—lattice-based modular self-reconfigurable robots—that uses a novel magnetic fiducial system for neighbor identification. This work, cited 17 times, enables algorithms for path following, line formation, and light gradient aggregation, promising scalable functionality for systems with many modules. Mamish also advanced swarm robotics with his work on HoverBots, which addresses the challenge of scaling robot swarms to hundreds or thousands without sacrificing sensing, processing, or locomotion capabilities. By designing robots for manufacturability, his 13-citation paper demonstrates precise locomotion in low-cost systems, overcoming limitations that have hindered scalability in existing platforms. Mamish’s achievements highlight his ability to bridge theoretical control algorithms with practical hardware design, making him a notable figure in the push toward large-scale, autonomous robotic systems. His work is essential reading for researchers interested in decentralized coordination and the engineering of robust, scalable robot collectives.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Decentralized Control for 3D M-Blocks for Path Following, Line Formation, and Light Gradient Aggregation
17 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Massachusetts Institute of Technology, University of Michigan–Ann Arbor

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago