Andrew Rogers

University of Toronto

Papers

2

Total Citations

18

H-Index

2

About

Andrew Rogers is a leading researcher in the field of robotic swarms, with a particular focus on resource-constrained systems and collaborative autonomy. His work addresses fundamental challenges in swarm robotics, including mapping, localization, and motion control, where individual robots operate with limited sensing and communication capabilities. In his highly cited 2023 paper on occupancy grid mapping, Rogers introduced a novel collaborative exploration strategy that enables swarms of resource-constrained robots to build accurate environmental maps without relying on expensive sensors or centralized control. This work, which has garnered 10 citations, offers a practical solution for deploying swarms in GPS-denied or communication-limited environments. His 2022 paper on closed-loop motion control further advanced the field by proposing a tether-based strategy that allows swarms to achieve precise motion control without external localization infrastructure—a significant departure from traditional approaches that depend on static sensor networks or active localization systems. With 8 citations, this work demonstrates Rogers’ ability to develop elegant, low-cost solutions to complex coordination problems. His research has important implications for search-and-rescue, environmental monitoring, and planetary exploration, where robust, decentralized swarm intelligence is essential.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Occupancy Grid Mapping via Resource-Constrained Robotic Swarms: A Collaborative Exploration Strategy
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Toronto

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago