Matthew J. Coombes — accepted AI-conference papers

2024

Low-to-High Resolution Path Planner for Robotic Gas Distribution Mapping

Rohit V. Nanavati, Callum Rhodes, Matthew J. Coombes, Cunjia Liu

ICRA 2024poster

Robotic gas distribution mapping improves the understanding of a hazardous gas dispersion while putting the human operator out of danger. Generating an accurate gas distribution map quickly is of utmost importance in situations such as gas leaks and industrial incidents, so that the efficient use of…

Cited by 0 Source ↗Scholar ↗

2024

PointNetPGAP-SLC: A 3D LiDAR-Based Place Recognition Approach With Segment-Level Consistency Training for Mobile Robots in Horticulture

Tiago Barros, Luís Garrote, Pedro Conde, Matthew J. Coombes, Cunjia Liu, Cristiano Premebida +1

RA-L 2024

3D LiDAR-based place recognition remains largely underexplored in horticultural environments, which present unique challenges due to their semi-permeable nature to laser beams. This characteristic often results in highly similar LiDAR scans from adjacent rows, leading to descriptor ambiguity and, co

Cited by 8 Source ↗Scholar ↗