M.J. Norman
Papers
1
Total Citations
25
H-Index
1
About
M.J. Norman is a roboticist whose research centers on multi-robot coordination, with a particular focus on shared potential fields and their role in collective navigation and task allocation. In their seminal 2009 work, "Shared Potential Fields and their place in a multi-robot co-ordination taxonomy," Norman provided a foundational framework for understanding how distributed robotic systems can use artificial potential fields to achieve emergent, decentralized cooperation—a concept critical to swarm robotics and autonomous exploration. This paper, with 25 citations, has influenced subsequent studies in field-based control and taxonomy design for multi-agent systems. Norman’s contributions help bridge theoretical taxonomies with practical implementation, offering a clear language for comparing coordination strategies. Their work is especially notable for clarifying the trade-offs between reactive and deliberative control in multi-robot teams, making it a key reference for researchers designing scalable, robust robotic collectives.
Research Focus
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Top Papers
- 1