Ian W. Marshall

About

Ian W. Marshall is a researcher whose work bridges the fields of robotics and bio-inspired collective intelligence. His key research areas include vision-based autonomous navigation and swarm robotics, with a particular focus on how simple, decentralized systems can achieve complex group behaviors. Marshall’s most notable contribution is a vision-based obstacle avoidance algorithm for small, low-cost robots, published in 2007 (15 citations), which demonstrated that effective navigation could be achieved using affordable, off-the-shelf electronics—a significant step toward democratizing robotics research. He also developed a simple model of collective decision making during nectar source selection, inspired by honey bees (2005, 7 citations), and a related model of learning and collective decision making (2005, 4 citations). These works offer elegant, minimal frameworks for understanding how groups of simple agents can coordinate without centralized control, directly informing the field of swarm robotics. While his citation counts are modest, Marshall’s contributions are notable for their conceptual clarity and practical relevance, providing foundational insights for researchers exploring low-cost robotics and bio-inspired swarm intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   VISION-BASED OBSTACLE AVOIDANCE FOR A SMALL, LOW-COST ROBOT

   15 citations · 2007
2. 2
   Simple Model of Collective Decision Making during Nectar Source Selection by Honey Bees

   7 citations · 2005
3. 3
   Simple Model of Learning and Collective Decision Making during Nectar Source Selection by Honey Bees

   4 citations · 2005

Key Collaborators

Contact & Links