Papers

10

Total Citations

121

H-Index

5

About

Ashley Tews is a pioneering researcher in multi-agent robotics, autonomous surveillance, and human-robot interaction, whose work has shaped how teams of robots coordinate in dynamic environments. His most influential contributions center on the development of the Multi-Agent Planning System (MAPS), a framework for multi-robot coordination that enables agents to produce meaningful, coordinated behavior without explicit communication—relying instead on shared world models and potential fields. This work, demonstrated in the robot soccer domain, has garnered over 28 citations and laid the groundwork for scalable multi-agent systems. Tews also made significant strides in biosecurity with his 2015 paper on autonomous surveillance for biosecurity (39 citations), addressing real-world challenges in environmental monitoring. His research extends to large-scale human-robot interaction, where he proposed infrastructure for many-to-many interactions, allowing multiple operators to manage numerous robots seamlessly. Notably, his work on robust outdoor color beacon detection tackled the practical difficulties of vision-based robotics in harsh lighting conditions. With a career spanning from foundational multi-agent coordination to applied biosecurity, Tews’s research continues to influence the fields of field robotics, multi-robot systems, and human-robot collaboration.

Research Focus

Key Achievements

5
H-Index
10
Papers
121
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous surveillance for biosecurity
39 citations · 2015
📈 Most Prolific Year: 1999 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Commonwealth Scientific and Industrial Research Organisation, The University of Queensland

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago