Michael Allwright
Papers
13
Total Citations
165
H-Index
9
About
Michael Allwright is a leading researcher in swarm robotics, multi-robot construction, and autonomous aerial systems, with a focus on decentralized coordination and self-organization. His major contributions include pioneering the SRoCS platform, a stigmergy-based multi-robot construction system for unknown environments (30 citations), and developing an open-source UAV platform for swarm robotics that enables cooperative sensor fusion for inter-robot tracking (21 citations). Allwright’s work on self-organizing nervous systems (SoNS) for robot swarms (14 citations) introduces dynamic hierarchy formation, allowing swarms to autonomously reconfigure architectures. He has also advanced formation control for UAVs and mobile robots using self-organized communication topologies (22 citations) and explored autonomous construction driven by structural stimuli (13 citations). With over 150 total citations across his top papers, Allwright’s research bridges theory and practice, offering open-source tools like the SRoCS construction system (16 citations) and ARGoS simulations (10 citations) that empower the community. His notable achievements include demonstrating how collective perception can allocate construction tasks (9 citations) and comparing centralization versus decentralization in multi-robot sweep coverage (10 citations). Allwright’s work is essential reading for students and researchers interested in scalable, resilient swarm systems that operate without centralized control.
Research Focus
Key Achievements
Top Papers
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- 4An open-source multi-robot construction system16 citations · 2018
- 5Self-organizing nervous systems for robot swarms14 citations · 2024
- 6Structure and markings as stimuli for autonomous construction13 citations · 2017
- 7Multi-robot Coverage Using Self-organized Networks for Central Coordination12 citations · 2020
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- 9Simulating Multi-robot Construction in ARGoS10 citations · 2018
- 10