activity
20232026
most citedPointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

HortiMulti: A Multi-Sensor Dataset for Localisation and Mapping in Horticultural Polytunnels

Shuoyuan Xu, Zhipeng Zhong, Tiago Barros +4

Agricultural robotics is gaining increasing relevance in both research and real-world deployment. As these systems are expected to operate autonomously in more complex tasks, the a…

cs.RO2026

XIT: Exploration and Exploitation Informed Trees for Active Gas Distribution Mapping in Unknown Environments

Mal Fazliu, Matthew Coombes, Sen Wang +1

Mobile robotic gas distribution mapping (GDM) provides critical situational awareness during emergency responses to hazardous gas releases. However, most systems still rely on tele…

cs.RO2025

Mr.MSTE: Multi-robot Multi-Source Term Estimation with Wind-Aware Coverage Control

Rohit V. Nanavati, Tim J. Glover, Matthew J. Coombes +1

This paper presents a Multi-Robot Multi-Source Term Estimation (MRMSTE) framework that enables teams of mobile robots to collaboratively sample gas concentrations and infer the par…

cs.RO2024★ 6 cited

PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture

T. Barros, L. Garrote, P. Conde +4

3D LiDAR-based place recognition remains largely underexplored in horticultural environments, which present unique challenges due to their semi-permeable nature to laser beams. Thi…

cs.CV2023★ 1 cited

ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards

T. Barros, L. Garrote, P. Conde +4

Robust and reliable place recognition and loop closure detection in agricultural environments is still an open problem. In particular, orchards are a difficult case study due to st…