Published in ICDL - Austin, Texas, 2024
Individual differences in learning behavior within social groups have significant effects on collective task performance.
Recommended citation: Connor York, Zachary R. Madin, Paul O'Dowd, Edmund R. Hunt . (2024). "Shaping Multi-Robot Patrol Performance with Heterogeneity in Individual Learning Behavior." ICDL 2024. 1(1). Paper link here.
Published in ACM/SIGAPP - Avila, Spain, 2024
We find that generally, MRP algorithms that promote physical mixing of robots, as measured by a higher connectivity of their emergent communication network, reach consensus more quickly.
Recommended citation: Madin, Zachary R and Lawry, Jonathan and Hunt, Edmund R, . (2024). "Collective Anomaly Perception During Multi-Robot Patrol." SAC 2024 1. 1(1). Paper link here.
Published in Cranfield Defence and Security Doctoral Symposium, 2024
It is noted that algorithms that result in moderate levels of algebraic connectivity in the communication networks are robust to noise levels and result in high F-scores.
Published in MRS 2023 - Boston, USA, 2023
We find that generally, MRP algorithms that promote physical mixing of robots, as measured by a higher connectivity of their emergent communication network, reach consensus more quickly.