Victor Marmol

Google (United States)

Papers

1

Total Citations

30

H-Index

1

About

Victor Marmol is a leading researcher in multi-robot systems and autonomous coordination, with a particular focus on solving the critical challenge of long-duration robotic operations. His most influential work addresses the Autonomous Recharging Problem (ARP), a foundational issue for deploying robot teams in real-world missions. In his highly cited 2013 paper, Marmol formally defined the ARP and introduced an innovative market-based solution that enables robots to efficiently plan and negotiate when, where, and how to recharge, maximizing operational uptime without human intervention. This contribution, which has garnered over 30 citations, provides a practical framework for extending mission lifetimes in applications ranging from environmental monitoring to warehouse logistics. Beyond this core work, Marmol’s research spans distributed task allocation and swarm intelligence, where he develops algorithms that allow robot teams to self-organize under resource constraints. His achievements include advancing the theoretical underpinnings of autonomous energy management, making him a key figure in the transition of multi-robot systems from laboratory experiments to field-deployable solutions. For students and researchers, Marmol’s work offers a compelling blueprint for tackling the real-world constraints that define the next generation of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
The Autonomous Recharging Problem: Formulation and a market-based solution
30 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Google (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago