Frédéric Maire — accepted AI-conference papers

2025

Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning

Md. Mostafizur Rahman Komol, Brendan Tidd, Will Neil Browne, Frédéric Maire, Jason Williams, Gerard David Howard

RA-L 2025

Mobile robot teams often require decentralised autonomous navigation through narrow gaps in limited communication environments (e.g., underground search-and-rescue operations). Existing navigation approaches exhibit suboptimal performance for avoiding multi-robot collisions in such bottlenecks due t

Cited by 2 Source ↗Scholar ↗

2022

Learning and Executing Re-Usable Behaviour Trees From Natural Language Instruction

Gavin Suddrey, Ben Talbot, Frédéric Maire

RA-L 2022

Domestic and service robots have the potential to transform industries such as health care and small-scale manufacturing, as well as the homes in which we live. However, due to the overwhelming variety of tasks these robots will be expected to complete, providing generic out-of-the-box solutions tha

Cited by 23 Source ↗Scholar ↗

2022

Point Label Aware Superpixels for Multi-Species Segmentation of Underwater Imagery

Scarlett Raine, Ross Marchant, Brano Kusy, Frédéric Maire, Tobias Fischer

RA-L 2022

Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images. Analysis of this imagery can be automated using a model trained to perform semantic segmentation, however it is too co

Cited by 24 Source ↗Scholar ↗

2017

Teaching Robots Generalizable Hierarchical Tasks Through Natural Language Instruction

Gavin Suddrey, Christopher F. Lehnert, Markus Eich, Frédéric Maire, Jonathan Roberts

RA-L 2017

Natural language provides a convenient means of communicating information, and as such, is an ideal medium for enabling nonexpert users to teach robots novel tasks. However, in order to take advantage of natural language, a series of challenges must first be overcome. These challenges include the ne

Cited by 15 Source ↗Scholar ↗