Papers
19
Total Citations
770
H-Index
13
About
James A. R. Marshall is a leading figure in swarm robotics and bio-inspired artificial intelligence, whose work bridges the gap between insect collective behavior and autonomous robot systems. His research focuses on how minimal agents—whether social insects or simple robots—can achieve sophisticated collective intelligence through constrained communication and local sensing. Marshall's major contributions include demonstrating that robot swarms adapt more effectively to dynamic environments when communication is limited, a counterintuitive finding published in a 2021 paper (118 citations). He also pioneered insect-inspired AI for autonomous robots (2022, 122 citations), showing how neural principles from the insect central complex can guide robot navigation and decision-making. His development of the ARK system (Augmented Reality for Kilobots, 73 citations) has become a standard tool for large-scale swarm experiments, enabling precise tracking and control of hundreds of robots. With over 600 total citations across his top ten papers, Marshall's work on collective decision-making, quality-sensitive foraging, and magnitude-sensitivity has reshaped our understanding of how simple rules generate complex group behaviors, offering practical pathways for deploying resilient, scalable robot swarms in real-world monitoring and exploration tasks.
Research Focus
Key Achievements
Top Papers
- 1Insect-inspired AI for autonomous robots122 citations · 2022
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- 3Collective decision-making85 citations · 2017
- 4ARK: Augmented Reality for Kilobots73 citations · 2017
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- 7Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails46 citations · 2018
- 8Simulating Kilobots Within ARGoS: Models and Experimental Validation34 citations · 2018
- 9Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms33 citations · 2018
- 10Magnitude-sensitivity: rethinking decision-making33 citations · 2021